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Genially, la piattaforma per creare contenuti interattivi

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Usa Genially, la piattaforma online più completa per creare contenuti interattivi e animati. Sbalordisci con le tue creazioni.

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Introducing Xmind (2023), explore the latest version now! Download

17-year history of creating mind mapping software

Featured App 4.8 stars / 300,000+ Reviews

100+ million installations on the planet

The Winner of Most Popular Mind Mapping Tool

Unleash Your Creativity

Xmind's intuitive features give everyone the ability to spark creativity and create mind maps for just about anything.

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Think with Structures

Visual mind mapping with Xmind becomes more powerful with well-designed structures.
Explore all structures

Fishbone

Org Chart

Timeline

Treetable

Combine Multiple Structures

Break complexity with clarity

A smart combination of multiple structures on the same branch makes your mind map more cohesive and balanced especially for complex issues or large projects.

This is unique, and only in Xmind.

Outliner

Outline your thoughts hierarchically

Outliner is a dedicated view to display your thoughts in hierarchically-order. It is also a quicker way to jot down notes.
Learn more

ZEN Mode

Deep Dive into Your Flow

ZEN mode helps you stay concentrate on one mind map, eliminate distractions and be more productive.
Learn more
Learn about Enterprise Pricing

We Deeply Value Your Privacy

No monitoring. No interruption. Just focus on your thoughts, always secure and reliable.

We Don't Track

We won't collect any of your private data. We only gather system usage statistics for analytical purposes and it can be turned off anytime you like.

Ad-Free

No third-party commercial advertisement or any sponsored content. We want you to have the best user experience.

Local File Storage

We recommend having your data saved and stored locally for enhanced security and stability. Safe and sound, at your service anytime.

Enterprise customers are happy :)

From startups to Fortune 500 companies
Xmind is the best choice for teams working on any project.

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Xmind - Full-featured mind mapping and brainstorming tool.

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Xmind is the most professional and popular mind mapping tool. Millions of people use Xmind to clarify thinking, manage complex information, brainstorming, get work organized, remote and work from home WFH.

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Coggle is online software for creating and sharing mindmaps and flowcharts. It works online in your browser: there's nothing to download or install. Log in to start diagramming!

Whether you're taking notes, brainstorming, planning, or doing something awesomely creative, it is super simple to visualise your ideas with Coggle. Share with as many friends or colleagues as you like. Changes you make will show up instantly in their browser, wherever they are in the world

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The clear way to share complex information. Coggle is a collaborative mind-mapping tool that helps you make sense of complex things. Create unlimited mind maps and easily share them with friends and colleagues.

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Mappe mentali, mappe concettuali, schemi e diagrammi di Gantt

Modifiche in tempo reale e modifiche offline, multipiattaforma, sincronizzazione tra dispositivi, cronologia completa delle modifiche, ricerca full-text, centinaia di modelli facili da usare

Aziende innovative che si affidano ai nostri servizi

Mind mapping is a dynamic technique that connects a central idea with related concepts in a hierarchical structure. When you create mind maps using mind map maker, you can easily organize and connect ideas and thoughts in a virtual whiteboard, facilitating creativity and enhancing understanding. It's a powerful tool for capturing and exploring ideas, allowing you to visualize relationships and patterns.

Organize Ideas

When you create a mind map, you don't only capture ideas on the blank canvas. You organize your thoughts efficiently using hierarchy, visual elements, and connections. It's more useful and engaging.

Ignite Creativity

Humans are visual beings. Diagramming tools use visual elements that spark your creativity. You can easily generate ideas, inspire you to draw connections between them on the infinite canvas.

Retain & Recall Information

Mind mapping apps are effective learning aids. This is the reason why many schools and universities are using mind mapping tools for their advanced features and various mind map templates.

Information Synthesis

Complex ideas become easier to understand. This is one of the best mind mapping software benefits: a mind map simplifies any piece of information, illustrating it as keywords connected by relationships.

Increase Productivity

Create and edit mind maps in seconds: set tasks and deadlines, or plan projects from any device. Once you organize your priorities and break them down into actionable tasks, your mind will turn the focus mode on.

Flexibility & Collaboration

Anyone can use mind mapping: managers can use it to manage projects, creators to generate ideas, sellers to develop sales strategies, students to learn, and consultants to visualize and create presentations.

More mind mapping benefits ➜

Il miglior software di mappe mentali della rivista PC Magazine

"Expert Software Applications Mindomo vince un premio Editors' Choice perché il loro prodotto include potenti aspetti del software di mappe mentali abbinato agli aspetti sociali dei servizi di gestione della conoscenza. È l'unico prodotto tra i cinque recensiti in questa raccolta che tocca entrambi i lati della recinzione sociale o di mappatura. Questo è ciò che la più ampia categoria di applicazioni di mappe mentali dovrebbe sempre mirare a fare."

Il lavoro di squadra fa il lavoro dei sogni! Condividi i tuoi diagrammi con i membri del tuo team, colleghi o collaboratori. Con Mindomo puoi modificare ogni mappa mentale online in tempo reale, risparmiando tempo prezioso e aggiungendo valore insieme.

How to make a mind map using Mindomo?

The simplest way to create a mind map is by using free mind map software. Why? Embrace the power of mind mapping software over pen and paper, as it offers unparalleled flexibility, intuitive key features, and the ability to effortlessly organize, edit, and collaborate on your mind maps with ease. Moreover, you can access a full library with templates to get inspired to fill out the infinite canvas.

Lets see the basic steps on how to mind map:

Mobile Mind Mapping Apps

Download Mindomo mobile app to unleash your creativity on the go, capture new ideas instantly, and stay organized effortlessly. Access your mind maps anytime, anywhere, and boost your productivity and efficiency like never before!

Online Mind Mapping Software

Discover the power of Mindomo, the best mind map software for online collaboration, project planning, and unlimited ideas. Experience seamless synchronization and unleash your creativity with the ultimate online mind mapping tool!

Desktop Mind Mapping Software

Enjoy offline access, export mind maps seamlessly in multiple formats, engaging presentations with full-screen presentation mode, and many more features. Take your creativity to the next level with powerful mind mapping tools right on your Desktop.

Productivity Without Boundaries

No Internet, No Problem: experience seamless workflow accessing your mind maps offline. Experience uninterrupted productivity with Mindomo's offline access. Even without an internet connection, you can access your mind maps at any time and from any location. Whether you're on a long flight or in a remote location, Mindomo ensures your creativity and organization never stop.

Stay focused, create, and organize effortlessly, even when offline. Mindomo's offline access makes it the ideal mind mapping software for those constantly on the move, maximizing productivity wherever you are.

Capture Ideas On-the-Go and Stay Organized

Embrace the power of Mindomo's mobile app, designed to revolutionize your creativity and productivity. With seamless automatic synchronization, this app ensures you never miss a brilliant idea, allowing you to capture new ideas on the go.

Organize thoughts effortlessly, accessing your mind maps anytime, anywhere. Whether you're brainstorming, planning projects, or seeking unlimited inspiration, Mindomo's mobile app delivers a user-friendly experience. You don't need separate apps for notes, project management software, Google Docs, or Microsoft Office, etc. Mindomo's mobile app is your all-in-one tool for productivity, creativity, and efficient organization. Embrace the future of mind mapping and unlock your full potential today!

Don't let any brilliant idea slip away - download the Mindomo mobile app today and unlock the boundless potential of your mind. Elevate your productivity and bring your visions to life anytime, anywhere!

Why Mindomo?

Compared to other paid and free mind mapping software, Mindomo offers the most powerful combination: a wide variety of features, multiple templates, the ability to use it from different platforms, and a simple and compact design that is easy to use.

Mindomo: Your Gateway to Creative Thinking and Organization

Unlock your full potential: from enhanced creativity and efficient organization to improved learning and collaborative brainstorming.

Are you looking for a comprehensive solution to fuel your creativity and enhance your organization? Mindomo is the ultimate platform to unlock your mind's potential. Our intuitive mind mapping software empowers you to brainstorm, visualize and generate new ideas, and organize information effortlessly.

With Mindomo, you can break free from traditional thinking and explore innovative ways to approach tasks and projects. Create dynamic mind maps that spark creativity and boost comprehension, making complex concepts more accessible.

Stay organized and never miss a beat with our centralized platform for task management, project planning, and goal tracking. Collaborate with teammates in real-time, fostering seamless communication and collaboration for enhanced productivity.

Whether you're a student, professional, or educator, Mindomo offers a versatile solution to cater to your unique needs. Fuel your creativity, elevate your efficiency, and experience a new level of organization with Mindomo. Embrace the gateway to creative thinking and organization and unleash your full potential today.

Mindomo's Mind Maps: Your Tool for Enhanced Learning and Planning

Discover a transformative tool for accelerated learning and efficient planning with Mindomo's Mind Maps. Unleash your cognitive potential and absorb knowledge like never before with our innovative mind mapping software.

Mindomo's mind maps facilitate comprehension by organizing complex information into visual representations, allowing you to grasp connections and concepts effortlessly. Whether you're a student seeking better study techniques or a professional aiming to improve workflow, Mindomo's mind maps are your key to enhanced learning.

Streamline project planning and project management with our user-friendly platform. Visualize goals, timelines, and priorities on dynamic mind maps, empowering you to stay focused and on track. Not only plan but check milestones, track the progress and make the necessary adjustments and review the work.

Collaborate seamlessly with teammates, enabling effective teamwork and streamlined decision-making processes. Mindomo's real-time collaboration features create a cohesive environment for successful project execution.

Embrace the future of learning and planning with Mindomo's mind maps, your ultimate tool for enhanced productivity and success. Fuel your cognitive growth and organizational prowess today and unlock your true potential with Mindomo's mind maps.

"Non c'è modo migliore per far mappare così tanti pensieri e condividerli con i membri del nostro team". "Tutto, da semplici grafici a documenti strategici importanti" "Organizzare i pensieri in idee e approcci chiari" "Illustrare le note critiche dei clienti"

Productivity Redefined: Achieve More with Mindomo's Mind Maps

Are you seeking a powerful tool to revolutionize your productivity? Look no further than Mindomo's mind maps, designed to elevate your efficiency and unlock your full potential. With a user-friendly interface and innovative features, Mindomo offers an intuitive mind mapping solution for professionals, educators, students, creators, managers, etc.

Embrace creative thinking and organization with dynamic mind maps that capture and connect your ideas seamlessly. Effortlessly brainstorm and visualize complex concepts, leading to enhanced comprehension and accelerated learning. Stay organized by mapping out projects, tasks, and goals all in one centralized platform.

Mindomo's features enable real-time teamwork, ensuring your projects progress smoothly. Whether you're working solo or with team members, Mindomo fosters effective communication and efficient decision-making. Besides real-time collaboration, you have built-in chat, comment section, and task management features: you can assign tasks to your colleagues, vote for the best options, set due dates, milestones, and check completed tasks.

Achieve more and surpass your goals with Mindomo's versatile mind maps. Boost your productivity, streamline your tasks, and experience a new level of creativity with this cutting-edge mind mapping software.

Prova Mindomo Oggi

New to mind mapping? New to mind mapping? Begin your journey with Mindomo's easy-to-use free version.

For enhanced capabilities beyond limited features, explore our range of paid plans. Unleash your full mind mapping potential.

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Mindomo - Software collaborativo per la mappe mentali

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Crea mappe mentali e concettuali, schemi e diagrammi di Gantt per migliorare il modo di pensare e di imparare. Disponibile per web, Desktop, iOS e Android. Mappa mentalmente con noi, gratuitamente!

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Cmap Products

Cmap products empowers users to construct, navigate, share and criticize knowledge models represented as concept maps. View our products to see how you can utilize our software in your work, studies, or research.

Learn About Concept Maps

Concept maps are graphical tools for organizing and representing knowledge in an organized fashion. Learn what concept maps are, how to construct them, and use them.

Cmaps Around the World

Cmap software is used by individuals, schools, and institutions all around the world. See a variety a of uses of concept mapping and Cmap software by users of all ages.

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Cmap Products Cmap products empowers users to construct, navigate, share and criticize knowledge models represented as concept maps. View our products to see how you can utilize our software in your work, studies, or research. Learn About Concept Maps Concept maps are graphical tools for organizing and representing knowledge in an organized fashion.

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Canva is a free-to-use online graphic design tool. Use it to create social media posts, presentations, posters, videos, logos and more.

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ABC è stato aggiornato.

Visti i problemi segnalati, almeno per ora ho tolto da LeggiXme_BIG le funzioni legate al riconoscimento vocale. Nellaè disponibile la nuova versione.

Alla pagina dedicata, troverete un nuovo progetto dedicato ad insegnanti di scuola primaria, pedagogiste/i, psicologhe/gi, logopediste/i. Si chiama, almeno per ora, .

18 novembre 2019

E' disponibile un aggiornamento, che riguarda principalmente MateXme, con alcune piccole correzioni per LeggiXme_SP.

Nelle versioni di LeggiXme_FW40 scaricate prima del febbraio 2019 non funziona più il traduttore. Bisogna purtroppo scaricare una versione aggiornata per risolvere il problema.

Ecco una simpatica sorpresa da parte dei ragazzi dello Studio Mind di Firenze

Alla pagina DOWNLOAD è disponibile una copia corretta del manuale di LeggiXme

Ecco un progetto nato dalla collaborazione con Filippo Barbera, che tutti certo conoscete.

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22 gennaio 2021 ABC è stato aggiornato. 21 dicembre 2020 Visti i problemi segnalati, almeno per ora ho tolto da LeggiXme_BIG le funzioni legate al riconoscimento vocale. Nella pagina dedicata è disponibile la nuova versione. 28 novembre 2020 Cambio forzato di look. Purtroppo la vecchia versione

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Storyboard That: Online Miglior Libero del Mondo Storyboard Creator

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Crea storyboard con il nostro software storyboard gratuito! Registi, insegnanti, studenti e aziende amano tutti usare Storyboard That per storyboard e fumetti online

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Tux è il famoso pinguino della Linux: ora è pronto per arrivare sulle macchine Windows per insegnarci a digitare più velocemente.

Tiping Tux è un gioco che ci aiuterà a migliorare precisione e la velocità nella digitazione.

Prima di tutto dovremo spostare il pinguino in base alle lettere che appaiono sullo schermo.

Seguono altri esercizi studiati per farci ricordare meglio dove sono posizionate lettere sulla tastiera.

In pratica, con un po' di allenamento, saremo in grado di scrivere sulla tastiera ma senza doverla necessariamente guardare - una cosa che molti di noi avranno sempre voluto imparare.

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Tux è il famoso pinguino della Linux: ora è pronto per arrivare sulle macchine Windows per insegnarci a digitare più velocemente. Tiping Tux è un gioco che ci aiuterà a migliorare precisione e la velocità nella digitazione. Prima di tutto dovremo spostare il pinguino in base alle lettere che appaiono sullo schermo.

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Digital Library of Stories for Kids | Stories | Storyweaver

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StoryJumper: #1 rated site for creating story books

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Easiest way to create, narrate, and publish your own hardcover and paperback books. Read and listen to books from our worldwide community.

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ThingLink: Create unique experiences with interactive images, videos & 360° media

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Easily create interactive and immersive visual experiences for online communication and learning. Start a free trial!

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Take your narratives to the next level with our engaging, interactive timelines that are as visually stunning as they are informative.

Our easy-to-use platform lets you paint a vivid picture of the past, present, and even the future.

Enjoy the freedom to focus on what matters most, communicate key moments, and offer a full context that allows your audience to completely grasp your story.

Engage with interactivity, animation and beautiful design.

Focus on what is most important and communicate key moments.

Enhance comprehension by providing the context to fully understand the story.

Experience history in a way that connects the dots and puts things in perspective.

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Elevate your projects with our intuitive timeline maker. Craft compelling educational, historical, or project timelines in just a few clicks. Experience ease like never before!

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Read! - Il Tachistoscopio Online Gratuito

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Read è un Tachistoscopio Online gratuito e altamente personalizzabile!

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Il programma converte testi in audio. Il Balabolka può utilizzare tutti i sintetizzatori vocali installati sul tuo pc. I formati finali di audio sono WAV, MP3, OGG o WMA. Il programma legge ad alta voce il contenuto degli appunti, visualizza il testo in formato DOC, RTF, PDF e HTML, cambia le impost…

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Puoi utilizzare Google Calendar per tenere traccia di tutti i tuoi eventi.

Accedere a Google Calendar

1. Apri Google Calendar sul computer.

2. Se hai già un Account Google, accedi. Se non hai ancora un account, fai clic su Crea un account.

3. Una volta effettuato l'accesso verrai indirizzato a Google Calendar.

4. Per modificare le impostazioni, fai clic su Impostazioni nell'angolo in alto a destra.

Browser che funzionano con Calendar

Nota: JavaScript e i cookie devono essere attivati per il browser in uso.

Google Calendar funziona con le versioni attuali e con le principali versioni precedenti dei seguenti browser:

Suggerimenti

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Puoi utilizzare Google Calendar per tenere traccia di tutti i tuoi eventi. Apri Google Calendar sul computer. Se hai già un Account Google, accedi. Se non hai ancora un account, fai clic su Crea un account. Una volta effettuato l'accesso verrai indirizzato a Google Calendar.

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Quando e dove ti serve

Devi ricordarti di andare a fare un po' di spesa? Imposta un promemoria basato sul luogo per visualizzare la tua lista della spesa direttamente quando arrivi al supermercato. Devi portare a termine un impegno? Imposta un promemoria basato sull'ora per essere sicuro di non dimenticarti nulla.

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Scopri Google Keep: prendi nota delle tue idee, ovunque tu sia

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Capture notes, share them with others, and access them from your computer, phone or tablet. Free with a Google account.

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Audacity ® | Free Audio editor, recorder, music making and more!

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Audacity is the world’s most popular audio editing and recording app. Edit, mix, and enhance your audio tracks with the power of Audacity. Download now!

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Thank you, so much, for making podcasting a viable career for me. I was struggling before Spreaker came into my life. And now I can do this full time, without worrying about money. You folks really have changed my life for the better!

The Spreaker platform has introduced me to opportunities to amplify my voice as a podcaster, they have highlighted my efforts in many ways and I'm grateful for the work that they do. Monetizing through Spreaker has allowed me to realize revenue through my podcast that it would have been challenging to accomplish on my own.

Emily G Thompson, host of Morbidology

Thanks to Spreaker I have been able to monetize my podcast and work as a full-time podcaster. Spreaker Prime takes the stress out of worrying about how to monetize your podcast and begin to make money for your hard work. The team is always on hand to answer any queries or assist in any way possible, making for a seamless partnership.

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Listen to the Best Podcasts, For Free - Spreaker

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Start your podcasting journey in a matter of seconds Spreaker, the one-stop-shop for recording, publishing, monetizing and distributing your podcasts.

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LearningApps - interactive and multimedia learning blocks

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LearningApps - interactive and multimedia learning blocks

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Join a game of kahoot here. Kahoot! is a free game-based learning platform that makes it fun to learn – any subject, in any language, on any device, for all ages!

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Enter the Code to Join & Vote on a Presentation - Mentimeter

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Enter the code from the Mentimeter presentation to join in and start voting. Make your voice heard!

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TED-Ed celebrates the ideas of teachers and students around the world. Discover hundreds of animated lessons, create customized lessons, and share your big ideas.

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Easily create beautiful interactive video lessons for your students you can integrate right into your LMS. Track students' progress with hassle-free analytics as you flip your classroom!

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Scopri Google Drive - Un unico posto per tutti i tuoi file

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Google Drive è un modo gratuito per avere un backup dei tuoi file e accedervi con facilità da qualsiasi telefono, tablet o computer. Inizia con 15 GB di spazio di archiviazione Google gratuito.

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TinyTap is a social platform which empowers families, teachers and students to learn from each other by creating their own personalized interactive lessons and games and playing thousands of new ones shared daily by a worldwide community of educators and learners worldwide.

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Tes - Education Jobs, News, Teaching Resources & School Software

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We power schools and enable great teaching worldwide, by creating intelligent online products and services to make the greatest difference in education.

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Risorse didattiche categorie: schede esercizi giochi problemi per la scuola

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L'elenco delle categorie de pi completo archivio di schede didattiche, esercizi, spiegazioni, verifiche, giochi didattici, test, materiali e video lezioni per la scuola primaria e secondaria.

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Make your own custom map of the World, United States, Europe, and 50+ different maps. Color an editable map and download it for free to use in your project.

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Play and Learn Italia è un sito web educativo e didattico in continua evoluzione. Dal 2018 condividiamo risorse create da noi, idee e suggerimenti per potenziare l'apprendimento dei bambini della scuola primaria e infanzia mediante l'utilizzo del GIOCO, della CREATIVITÀ e della TECNOLOGIA.

A partire da gennaio 2023, potete trovare delle nuove risorse inedite, anche su EDUDORO, piattaforma in cui è possibile acquistare e vendere materiali creati direttamente dai docenti.

BENVENUTI nel MONDO di Play and Learn Italia!

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Play and Learn: un mondo per bambini, insegnanti e genitori. Il gioco, la creatività e la tecnologia per imparare con il sorriso a scuola.

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Migliaia di materiale GRATUITO da scaricare

Scarica una scheda o attività GRATIS ogni settimana con la nostra newsletter

Suggerisci una risorsa! La possiamo creare per te!

Supporto clienti 24/7

Iscriviti adesso per iniziare

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Scuola primaria Italia Materiale scolastico - Materiale per la scuola primaria

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Scuola primaria, Italia, Risorse in Italiano, Italiano, Italia, Italy Teaching Resources, Italian Teaching Resources

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Nel sito fantavolando.it troverete tantissimi materiali didattici, attività creative, storie, poesie e tanto altro ancora per la scuola dell'infanzia e la scuola primaria.

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Maestra Mary - Scuola Primaria e dell'Infanzia

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I bambini hanno assemblato il bruco incollando i vari pezzi, hanno colorato e discriminato i giorni della settimana, aiutandosi un po' col libro e un po' con il calendario appeso in classe, li hanno posizionati in ordine sui vari pezzi del Bruco, all'interno hanno messo in corrispondenza i numeri e i frutti ritagliati e colorati dalla scheda.
"Maestra, tu ci hai messo le trappole! I frutti sono molti di più di quelli che servono!"

È stata quindi l'occasione per fare tanti anche conteggi, associazioni numero quantità, conteggi complessivi, confronti fra quantità e successioni e seriazione.

Una volta completate tutte le parti, sul retro abbiamo ritagliato il bozzolo e all'interno ognuno ha colorato e decorato la sua bellissima farfalla.

Poi è stato il momento della narrazione in cui i bambini a coppie sfogliavano e si raccontavano il loro libricino.
Anche a casa i bambini hanno il compito di raccontare ai genitori la storia del Piccolo bruco.

Mi piace molto l'idea di lavorare su un albo illustrato e di dare ai bambini la possibilità di averne una copia realizzata in modo artigianale, tutta loro, personalizzata.

Vi metto qui la scheda che ho realizzato incollando immagini prese qui e là.
Fatemi sapere se vi piace...noi lo adoriamo

Questo articolo è stato pubblicato in Immagine, Matematica, tecnologia e taggato come arte, bruco, conteggi, costruire, immagine, libretto, libro, matematica, numeri, pop-up, tecnologia il da

Continua in classe 1a la narrazione ed esplorazione dell'albo "Il piccolo Bruco Maisazio" di Eric Carle.

Oltre alle attività che già trovate sul sito stamattina, in occasione della code week, ho proposto ai bambini una sfida particolare: questa immagine, realizzata da me con Zaplycode.

I bambini subito hanno capito che si trattava di un disegno in pixel o forse qualcosa del genere ma...era un po' strano.
Lo abbiamo osservato con attenzione, non era come quello della ghianda ( che trovate qui) che ci aiutava a capire come colorare, è strano...non è un disegno fatto perchè ci sono anche dei numeri e poi non si capisce che disegno sia!

Abbiamo notato che:
- ci sono dei numerini piccoli rossi, da uno a 12 che forse sono le righe dell'immagine
- ci sono dei quadretti colorati e dei numeri
- non tutte le righe sono lunghe uguali
- ci sono 5 colori: bianco, giallo, verde nero e verde scuro
- ci sono tanti numeri 1
- ma c'è anche un numero 10!

Abbiamo provato dunque a colorare seguendo questi numeri e questi colori. I bambini leggevano a turno il codice e lo dettavano ai compagni e io controllavo e realizzavo alla LIM insieme a loro la coloritura della griglia.

Bello bello, ci piace e ci siamo ripromessi di realizzare ancora altre immagini così...adesso che abbiamo capito come funziona!
Ecco il file del codice, della griglia vuota e del pixel del bruco.

Buon lavoro a voi!

Questo articolo è stato pubblicato in coding il da .

Il prossimo anno sarò di nuovo in prima ...di materiale ne ho a iosa ma...ormai mi conoscete, ferma non riesco a starci e quindi anche in estate penso, scopro, creo...

Tempo fa ho visto la pubblicità di questi dadi con diverse rappresentazione di numeri che ritengo essere efficaci per il subitizing e per diversi giochi o attività che si possono fare in classe, confronti, seriazioni, composizioni...li ho trovati interessanti e messi nel carrello ...

Sono poi andata con un'amica in un negozio di articoli per le feste e bomboniere e ho trovato queste scatoline di cartone cubiche 6×6 e subito ho pensato fossero perfette per creare questi dadi...ho realizzato quindi il file (che vi allego), tagliato incollato sulle scatoline e ora penso che ricorpirò il tutto con carta adesiva per renderle più resistenti.

Cosa ne dite? Voi come li usereste?
Buona estate a voi e alla prossima!

Ecco il file

Questo articolo è stato pubblicato in giochi, Matematica e taggato come dadi, giocare, lavorare, matematica, numeri, prima, subitizing il da

Ho adattato idee trovate online...si tratta di una semplice tabella, stampata e incollata su un supporto di cartoncino...due tagli laterali per infilare una striscia di plastica, io l'ho ricavata da vecchie cartelline.
Sulla plastica si può scrivere con i pennarelli da lavagna bianca che sono cancellabili o anche con alcuni semplici pennarelli, anche alcuni evidenziatori si cancellano ma...vi consiglio di provare prima.

Io ho deciso di fare questo lavoro in modo sistematico in quarta per affrontare insieme la moltiplicazione e divisione dei numeri ma anche la misura e i numeri decimali.

Ecco nel video spiegato come si usa.
Buon lavoro e...se volete alla fine il file da scaricare.

Questo articolo è stato pubblicato in Matematica e taggato come costruire, moltiplicazioni e divisioni, pennarelli, strumenti, strumento, tabella, valore cifre il da

Questo articolo è stato pubblicato in Geometria e taggato come angoli, astine, equilateri, formare triangoli, geostix, isosceli, lati, perimetri, scaleni, triangoli il da

Abbiamo iniziato il nuovo anno così...cercando la quadra in questo interessantissimo problema del Rally matematico Transalpino

Ci ha permesso di riflettere sulla combinazione delle varie cifre per riuscire a formare tutti i numeri necessari per rappresentare i mesi.
Come sempre ci abbiamo pensato prima singolarmente poi a coppie e poi abbiamo condiviso con la classe le nostre idee.

Abbiamo quindi trovato la soluzione e disposto i numeri su due diversi cubi che abbiamo anche decorato poi siamo passati a scrivere i mesi e i giorni della settimana.
Anche lì era necessario trovare una soluzione per far stare 12 mesi su un cubo solo e sette giorni sull'altro.

Per i mesi è stato subito chiaro che bastava metterne due ogni faccia. Come fare però a far capire quale mese era il corrente?
Dopo varie discussioni qualcuno ha proposto di mettere un foglietto a coprire man mano il mese non utilizzato e poi siamo giunti alla conclusione di scriverne uno in un verso e uno in un altro in modo che quello corrente apparisse dritto sul cubo.

Per i giorni della settimana si è optato, come avevamo già pensato per il 6 e il 9, di utilizzare lo stesso simbolo per due giorni e quindi la M può essere utilizzata per martedì ma anche per il mercoledì.
Qualcuno ha ritenuto necessario avere tutti e due i nomi e quindi ha scritto per esteso i giorni della settimana e martedì e mercoledì sulla stessa come per i mesi.
In ultimo abbiamo piegato con un foglio A4 lo stand per riporre i dadi.

Lavoro molto interessante di ragionamento, logica e manipolazione e si può continuare in ogni classe parlando di sviluppi di cubi, quadrati, combinazioni, di 3D prendendo spunto dalle proposte del Matecalendario 2023 e soprattutto della guida del @ilpiccolofriedrich

Questo articolo è stato pubblicato in Matematica e taggato come calendario, combinazioni, creare, cubi, mesi e giorni, origami, problema, ragionare, rally il da

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Schede didattiche per la scuola primaria, giochi didattici, ebook e libri da colorare. Esercizi interattivi, disegni da stampare e colorare, lavoretti, enigmistica per bambini...

Blog didattico del maestro Fabio Speciale.
Tutto il materiale didattico presente su questo sito è stato ideato e realizzato da me, utilizzando in parte foto o prendendo spunto da testi presenti su libri o siti web.
Non intendo infrangere i diritti d'autore. Qualora siate i titolari del copyright del materiale pubblicato o di parte di esso, segnalatemelo e sarà mia premura citare autore e fonte o rimuovere i links.
Tutti i commenti ai post sono molto graditi e non costano nulla. Grazie :-)

La mia collega ha presentato in scienze l'albero e le sue parti. Ho così pensato di riprendere l'argomento "Albero" coll...

Prima di spiegare ai miei alunni i concetti principali delle civiltà mesopotamiche, ho strutturato questo esercizio basato solo sull'o...

Chi sono gli studiosi e le studiose che aiutano lo storico? Scopriremo in queste schede altri scienziati e scienziate importanti che collab...

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Schede didattiche per la scuola primaria, giochi didattici, ebook e libri da colorare. Esercizi interattivi, disegni da stampare e colorare, lavoretti, enigmistica per bambini... Blog didattico del maestro Fabio Speciale.Tutto il materiale didattico presente su questo sito è stato ideato e realizzato da me, utilizzando in parte foto o prendendo spunto da testi presenti su libri o siti web.Non intendo infrangere i diritti d'autore.

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Spunti e risorse per la didattica alla scuola primaria

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Scuola, bambini, educazione e divertimento!

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Blog di esperienze didattiche matematiche e scientifiche di una maestra che lavora alla scuola primaria.

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Portale per bambini Siete pronti a navigare?

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Istituito nel 2002 dal Premio Nobel Carl Wieman, il Progetto PhET Simulazioni Interattive dell'Università del Colorado di Boulder crea simulazioni interattive gratuite di matematica e scienze. Le simulazioni PhET sono basate su ricerche didattiche estese e coinvolgono gli studenti mediante un ambiente intuitivo, ludico dove essi apprendono attraverso l'esplorazione e la scoperta.

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IN EVIDENZA Un percorso di Educazione Civica per avviare l’anno scolastico. Di solito i primi giorni di scuola le attività didattiche sono pensate per accogliere e fare un ripasso delle regol…

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Su Tabelline.it puoi esercitarti in modo semplice con tutte le tabelline. Gli esercizi proposti sono semplici e chiari, così potrai iniziare subito ad esercitarti con le tabelline. Scegli tra quelle in basso la tabellina con cui vuoi esercitarti e dimostra quello che sai fare nei test a tempo, oppure stampa utili fogli di lavoro.

Scegli tra quelle in basso una tabellina con cui desideri esercitarti. Anzi tutto puoi esercitarti seguendo un ordine consecutivo e dopo averle imparate potrai eseguire tutte le moltiplicazioni della singola tabellina in ordine casuale. Se non ricordi più le risposte guarda la pagina "tutte le tabelline in fila" per ripassare ancora una volta prima di risolvere i calcoli delle tabelline da solo.

Se hai già una buona conoscenza di alcune tabelline, con i test a tempo puoi selezionare quelle con cui vuoi esercitarti in una gara contro il tempo. Se fai un errore, al termine del test potrai vedere qual è la risposta corretta. In questo modo potrai imparare rapidamente tutte le tabelline. I test a tempo costituiscono un'ottima preparazione per ottenere il diploma di esperto delle tabelline. Per conquistarlo dovrai rispondere alle domande ancora più velocemente rispetto ai test a tempo, ma una volta risposto correttamente a tutte le domande otterrai il diploma di esperto! Puoi scegliere fra due diplomi. Il piccolo diploma è costituito da 30 domande. Se hai conquistato il piccolo diploma, hai imparato le tabelline dell'1, del 2, del 3, del 4, del 5 e del 10! Per ottenere il grande diploma dovrai rispondere a 40 domande, che comprendono le tabelline dall'1 al 10 incluso.

Impara le tabelline in modo interattivo con i giochi di matematica gratis. L'elemento del gioco rende la fase di apprendimento ancora più divertente.

Imparare le tabelline

Qui trovi ulteriori informazioni riguardanti esercizi con le tabelline per la scuola primaria. Nella maggior parte delle scuole le tabelline si imparano in 3ª e 4ª elementare e sono gli alunni a dover fare in modo di ricordarsele anche in 5ª elementare e nei primi due anni della scuola media. Esistono anche scuole in cui tutte le tabelline vengono imparate già in 3ª elementare. Per quanto sappiamo, in 3ª elementare si imparano di solito: la tabellina dell'1, la tabellina del 2, la tabellina del 3, la tabellina del 4, la tabellina del 5 e la tabellina del 10. E in 4ª elementare si prosegue con la tabellina del 6, del 7, dell'8 e del 9 e naturalmente con tutte le tabelline in ordine casuale.

Non tutti i bambini riescono ad imparare tutte le tabelline con la stessa facilità, pertanto è consigliabile continuare ad esercitarsi regolarmente con le tabelline anche dopo la 4ª elementare. Vi sono inoltre anche alcuni trucchetti che rendono più semplice imparare le tabelline e consentono di non dimenticarle. Ad esempio, per molti bambini è più facile rispondere alle domande sulle tabelline se la prima cifra della moltiplicazione è la più piccola delle due. Ad esempio, 4 x 9 è più facile da risolvere rispetto a 9 x 4. Invertendo i fattori della moltiplicazione risulta più facile fornire la risposta. Spesso inoltre può essere utile eseguire le moltiplicazioni delle tabelline più difficili sulla base di quelle di cui si ha già una buona padronanza. Un esempio è costituito da 6 x 7, un calcolo considerato spesso difficile. Se per risolverlo si moltiplicano prima 5 x 7 e vi si aggiunge il risultato di 1 x 7 diventa immediatamente più semplice da calcolare. Lo si può fare anche al contrario, stavolta con una sottrazione. Nel caso di 4 x 7 è possibile eseguire prima 5 x 7 e sottrarre quindi il risultato di 1 x 7.

Perché è necessario impegnarsi così tanto per imparare le tabelline? Le tabelline continuano ad essere utilizzate anche nelle classi successive della scuola primaria e anche nei gradi di istruzione superiore, non sotto forma di tabelline vere e proprie, ma come base di calcoli più complessi. E non soltanto a scuola, ma anche nella vita di tutti i giorni è utile conoscere bene le tabelline, ad esempio per qualche rapido calcolo alla bancarella della verdura al mercato. Utilizzando il modulo di contatto è possibile inviarci domande, osservazioni o idee su Tabelline.it.

Programma 5-fasi

Impara le tabelline con il programma 5-fasi. Abbiamo infatti sviluppato un programma innovativo a 5 fasi per imparare le tabelline in modo efficace ed efficiente. Il metodo è stato testato in molte scuole ed è raccomandato dagli insegnanti.
Le 5 fasi sono le seguenti:

Fase 1a: Visualizza, leggi ad alta voce e ripeti. Per prendere dimestichezza con la tabellina.

Fase 1b: Rispondi ai quesiti sulle tabelline in sequenza e verifica di aver risposto correttamente.

Fase 2: Trascina le risposte esatte verso le domande corrispondenti.

Fase 3: Rispondi ai quesiti misti e verifica di aver risposto correttamente.

Fase 4: Le domande a scelta multipla ti aiuteranno a migliorare offrendo un approccio diverso alle domande.

Fase 5: Verifica la tua conoscenza e ottieni il diploma.

Dopo aver completato le 5 fasi potrai giocare a memory con le tabelline oppure esercitarti con il foglio di lavoro. Un'altra alternativa, se desideri allenarti di più, è quella di cimentarti con il test a tempo, il test da 1 minuto o giocando con i giochi di tabelline.

Consigliamo di esercitarti ogni giorno per 15 minuti se vuoi ottenere il massimo risultato.

Esercizi con le tabelline online

Le tabelline sono fondamentali e non sono molti i posti in cui puoi impararle in modo facile e rapido. Ecco perché abbiamo creato www.tabelline.it! Esercitarsi con le tabelline online è molto semplice su Tabelline.it. I giochi aritmetici proposti sono semplici e chiari, così potrai iniziare rapidamente a esercitarti con le tabelline. Fai clic su una delle tabelline per iniziare subito. Puoi anche scegliere tra la categoria "Esercizi con le tabelline 3ª elementare" o "Esercizi con le tabelline 4ª elementare". Inserisci le risposte sulle righe e quando hai finito premi "Verifica". Così vedrai subito quante risposte giuste hai dato e quante sbagliate. Puoi anche esercitarti scegliendo un ordine casuale, per controllare se conosci bene le tabelline.

Inoltre puoi esercitarti con le tabelline in modo interattivo grazie ai giochi con le tabelline. Nella pagina dei giochi con le tabelline sono ora disponibili il gioco "Trascina la risposta" e il gioco "Tabelline e palloncini".

Esse costituiscono la base per l'aritmetica insegnata in 5ª elementare e nei primi due anni della scuola media, perciò è importante avere molta dimestichezza con gli esercizi di moltiplicazione.

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Tabelline.it - Imparare le tabelline da 1 a 10

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Impara qui tutte le tabelline dall'1 al 10 con il programma 5-fasi. Esercitati con i test a tempo, i giochi e i fogli di lavoro e otterrai il diploma.

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Math Manipulatives & Reading Resources - Didax Educational Resources

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For over 40 years, we've specialized in helping educators to address individual learning styles and diverse student needs. Through the use of math manipulatives and resources for language arts, we strive to make teachers more successful.

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Il sito ufficiale di Babalibri, casa editrice di libri e giochi per l’infanzia dal 1999.

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Create your own free avatar in 4 different styles. You can save it as a scalable SVG image or in the more common PNG format.

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Brussels, 21.4.2021

COM(2021) 206 final

2021/0106(COD)

Proposal for a

REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL

LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS

{SEC(2021) 167 final} - {SWD(2021) 84 final} - {SWD(2021) 85 final}

EXPLANATORY MEMORANDUM

This explanatory memorandum accompanies the proposal for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Artificial Intelligence (AI) is a fast evolving family of technologies that can bring a wide array of economic and societal benefits across the entire spectrum of industries and social activities. By improving prediction, optimising operations and resource allocation, and personalising service delivery, the use of artificial intelligence can support socially and environmentally beneficial outcomes and provide key competitive advantages to companies and the European economy. Such action is especially needed in high-impact sectors, including climate change, environment and health, the public sector, finance, mobility, home affairs and agriculture. However, the same elements and techniques that power the socio-economic benefits of AI can also bring about new risks or negative consequences for individuals or the society. In light of the speed of technological change and possible challenges, the EU is committed to strive for a balanced approach. It is in the Union interest to preserve the EU's technological leadership and to ensure that Europeans can benefit from new technologies developed and functioning according to Union values, fundamental rights and principles.

This proposal delivers on the political commitment by President von der Leyen, who announced in her political guidelines for the 2019-2024 Commission "A Union that strives for more" , that the Commission would put forward legislation for a coordinated European approach on the human and ethical implications of AI. Following on that announcement, on 19 February 2020 the Commission published the White Paper on AI - A European approach to excellence and trust . The White Paper sets out policy options on how to achieve the twin objective of promoting the uptake of AI and of addressing the risks associated with certain uses of such technology. This proposal aims to implement the second objective for the development of an ecosystem of trust by proposing a legal framework for trustworthy AI. The proposal is based on EU values and fundamental rights and aims to give people and other users the confidence to embrace AI-based solutions, while encouraging businesses to develop them. AI should be a tool for people and be a force for good in society with the ultimate aim of increasing human well-being. Rules for AI available in the Union market or otherwise affecting people in the Union should therefore be human centric, so that people can trust that the technology is used in a way that is safe and compliant with the law, including the respect of fundamental rights. Following the publication of the White Paper, the Commission launched a broad stakeholder consultation, which was met with a great interest by a large number of stakeholders who were largely supportive of regulatory intervention to address the challenges and concerns raised by the increasing use of AI.

The proposal also responds to explicit requests from the European Parliament (EP) and the European Council, which have repeatedly expressed calls for legislative action to ensure a well-functioning internal market for artificial intelligence systems ('AI systems') where both benefits and risks of AI are adequately addressed at Union level. It supports the objective of the Union being a global leader in the development of secure, trustworthy and ethical artificial intelligence as stated by the European Council and ensures the protection of ethical principles as specifically requested by the European Parliament .

In 2017, the European Council called for a 'sense of urgency to address emerging trends' including 'issues such as artificial intelligence ..., while at the same time ensuring a high level of data protection, digital rights and ethical standards' . In its 2019 Conclusions on the Coordinated Plan on the development and use of artificial intelligence Made in Europe , the Council further highlighted the importance of ensuring that European citizens' rights are fully respected and called for a review of the existing relevant legislation to make it fit for purpose for the new opportunities and challenges raised by AI. The European Council has also called for a clear determination of the AI applications that should be considered high-risk .

The European Parliament has also undertaken a considerable amount of work in the area of AI. In October 2020, it adopted a number of resolutions related to AI, including on ethics , liability and copyright . In 2021, those were followed by resolutions on AI in criminal matters and in education, culture and the audio-visual sector . The EP Resolution on a Framework of Ethical Aspects of Artificial Intelligence, Robotics and Related Technologies specifically recommends to the Commission to propose legislative action to harness the opportunities and benefits of AI, but also to ensure protection of ethical principles. The resolution includes a text of the legislative proposal for a regulation on ethical principles for the development, deployment and use of AI, robotics and related technologies. In accordance with the political commitment made by President von der Leyen in her Political Guidelines as regards resolutions adopted by the European Parliament under Article 225 TFEU, this proposal takes into account the aforementioned resolution of the European Parliament in full respect of proportionality, subsidiarity and better law making principles.

To achieve those objectives, this proposal presents a balanced and proportionate horizontal regulatory approach to AI that is limited to the minimum necessary requirements to address the risks and problems linked to AI, without unduly constraining or hindering technological development or otherwise disproportionately increasing the cost of placing AI solutions on the market. The proposal sets a robust and flexible legal framework. On the one hand, it is comprehensive and future-proof in its fundamental regulatory choices, including the principle-based requirements that AI systems should comply with. On the other hand, it puts in place a proportionate regulatory system centred on a well-defined risk-based regulatory approach that does not create unnecessary restrictions to trade, whereby legal intervention is tailored to those concrete situations where there is a justified cause for concern or where such concern can reasonably be anticipated in the near future. At the same time, the legal framework includes flexible mechanisms that enable it to be dynamically adapted as the technology evolves and new concerning situations emerge.

The proposal sets harmonised rules for the development, placement on the market and use of AI systems in the Union following a proportionate risk-based approach. It proposes a single future-proof definition of AI. Certain particularly harmful AI practices are prohibited as contravening Union values, while specific restrictions and safeguards are proposed in relation to certain uses of remote biometric identification systems for the purpose of law enforcement. The proposal lays down a solid risk methodology to define "high-risk" AI systems that pose significant risks to the health and safety or fundamental rights of persons. Those AI systems will have to comply with a set of horizontal mandatory requirements for trustworthy AI and follow conformity assessment procedures before those systems can be placed on the Union market. Predictable, proportionate and clear obligations are also placed on providers and users of those systems to ensure safety and respect of existing legislation protecting fundamental rights throughout the whole AI systems' lifecycle. For some specific AI systems, only minimum transparency obligations are proposed, in particular when chatbots or 'deep fakes' are used.

The proposed rules will be enforced through a governance system at Member States level, building on already existing structures, and a cooperation mechanism at Union level with the establishment of a European Artificial Intelligence Board. Additional measures are also proposed to support innovation, in particular through AI regulatory sandboxes and other measures to reduce the regulatory burden and to support Small and Medium-Sized Enterprises ('SMEs') and start-ups.

The horizontal nature of the proposal requires full consistency with existing Union legislation applicable to sectors where high-risk AI systems are already used or likely to be used in the near future.

Consistency is also ensured with the EU Charter of Fundamental Rights and the existing secondary Union legislation on data protection, consumer protection, non-discrimination and gender equality. The proposal is without prejudice and complements the General Data Protection Regulation (Regulation (EU) 2016/679) and the Law Enforcement Directive (Directive (EU) 2016/680) with a set of harmonised rules applicable to the design, development and use of certain high-risk AI systems and restrictions on certain uses of remote biometric identification systems. Furthermore, the proposal complements existing Union law on non-discrimination with specific requirements that aim to minimise the risk of algorithmic discrimination, in particular in relation to the design and the quality of data sets used for the development of AI systems complemented with obligations for testing, risk management, documentation and human oversight throughout the AI systems' lifecycle. The proposal is without prejudice to the application of Union competition law.

As regards high-risk AI systems which are safety components of products, this proposal will be integrated into the existing sectoral safety legislation to ensure consistency, avoid duplications and minimise additional burdens. In particular, as regards high-risk AI systems related to products covered by the New Legislative Framework (NLF) legislation (e.g. machinery, medical devices, toys), the requirements for AI systems set out in this proposal will be checked as part of the existing conformity assessment procedures under the relevant NLF legislation. With regard to the interplay of requirements, while the safety risks specific to AI systems are meant to be covered by the requirements of this proposal, NLF legislation aims at ensuring the overall safety of the final product and therefore may contain specific requirements regarding the safe integration of an AI system into the final product. The proposal for a Machinery Regulation, which is adopted on the same day as this proposal fully reflects this approach. As regards high-risk AI systems related to products covered by relevant Old Approach legislation (e.g. aviation, cars), this proposal would not directly apply. However, the ex-ante essential requirements for high-risk AI systems set out in this proposal will have to be taken into account when adopting relevant implementing or delegated legislation under those acts.

As regards AI systems provided or used by regulated credit institutions , the authorities responsible for the supervision of the Union's financial services legislation should be designated as competent authorities for supervising the requirements in this proposal to ensure a coherent enforcement of the obligations under this proposal and the Union's financial services legislation where AI systems are to some extent implicitly regulated in relation to the internal governance system of credit institutions . To further enhance consistency, the conformity assessment procedure and some of the providers' procedural obligations under this proposal are integrated into the procedures under Directive 2013/36/EU on access to the activity of credit institutions and the prudential supervision .

This proposal is also consistent with the applicable Union legislation on services, including on intermediary services regulated by the e-Commerce Directive 2000/31/EC and the Commission's recent proposal for the Digital Services Act (DSA) .

In relation to AI systems that are components of large-scale IT systems in the Area of Freedom, Security and Justice managed by the European Union Agency for the Operational Management of Large-Scale IT Systems (eu-LISA), the proposal will not apply to those AI systems that have been placed on the market or put into service before one year has elapsed from the date of application of this Regulation, unless the replacement or amendment of those legal acts leads to a significant change in the design or intended purpose of the AI system or AI systems concerned.

The proposal is part of a wider comprehensive package of measures that address problems posed by the development and use of AI, as examined in the White Paper on AI. Consistency and complementarity is therefore ensured with other ongoing or planned initiatives of the Commission that also aim to address those problems, including the revision of sectoral product legislation (e.g. the Machinery Directive, the General Product Safety Directive) and initiatives that address liability issues related to new technologies, including AI systems. Those initiatives will build on and complement this proposal in order to bring legal clarity and foster the development of an ecosystem of trust in AI in Europe.

The proposal is also coherent with the Commission's overall digital strategy in its contribution to promoting technology that works for people, one of the three main pillars of the policy orientation and objectives announced in the Communication 'Shaping Europe's digital future' . It lays down a coherent, effective and proportionate framework to ensure AI is developed in ways that respect people's rights and earn their trust, making Europe fit for the digital age and turning the next ten years into the Digital Decade .

Furthermore, the promotion of AI-driven innovation is closely linked to the Data Governance Act , the Open Data Directive and other initiatives under the EU strategy for data , which will establish trusted mechanisms and services for the re-use, sharing and pooling of data that are essential for the development of data-driven AI models of high quality.

The proposal also strengthens significantly the Union's role to help shape global norms and standards and promote trustworthy AI that is consistent with Union values and interests. It provides the Union with a powerful basis to engage further with its external partners, including third countries, and at international fora on issues relating to AI.

The legal basis for the proposal is in the first place Article 114 of the Treaty on the Functioning of the European Union (TFEU), which provides for the adoption of measures to ensure the establishment and functioning of the internal market.

This proposal constitutes a core part of the EU digital single market strategy. The primary objective of this proposal is to ensure the proper functioning of the internal market by setting harmonised rules in particular on the development, placing on the Union market and the use of products and services making use of AI technologies or provided as stand-alone AI systems. Some Member States are already considering national rules to ensure that AI is safe and is developed and used in compliance with fundamental rights obligations. This will likely lead to two main problems: i) a fragmentation of the internal market on essential elements regarding in particular the requirements for the AI products and services, their marketing, their use, the liability and the supervision by public authorities, and ii) the substantial diminishment of legal certainty for both providers and users of AI systems on how existing and new rules will apply to those systems in the Union. Given the wide circulation of products and services across borders, these two problems can be best solved through EU harmonizing legislation.

Indeed, the proposal defines common mandatory requirements applicable to the design and development of certain AI systems before they are placed on the market that will be further operationalised through harmonised technical standards. The proposal also addresses the situation after AI systems have been placed on the market by harmonising the way in which ex-post controls are conducted.

In addition, considering that this proposal contains certain specific rules on the protection of individuals with regard to the processing of personal data, notably restrictions of the use of AI systems for 'real-time' remote biometric identification in publicly accessible spaces for the purpose of law enforcement, it is appropriate to base this regulation, in as far as those specific rules are concerned, on Article 16 of the TFEU.

The nature of AI, which often relies on large and varied datasets and which may be embedded in any product or service circulating freely within the internal market, entails that the objectives of this proposal cannot be effectively achieved by Member States alone. Furthermore, an emerging patchwork of potentially divergent national rules will hamper the seamless circulation of products and services related to AI systems across the EU and will be ineffective in ensuring the safety and protection of fundamental rights and Union values across the different Member States. National approaches in addressing the problems will only create additional legal uncertainty and barriers, and will slow market uptake of AI.

The objectives of this proposal can be better achieved at Union level to avoid a further fragmentation of the Single Market into potentially contradictory national frameworks preventing the free circulation of goods and services embedding AI. A solid European regulatory framework for trustworthy AI will also ensure a level playing field and protect all people, while strengthening Europe's competitiveness and industrial basis in AI. Only common action at Union level can also protect the Union's digital sovereignty and leverage its tools and regulatory powers to shape global rules and standards.

The proposal builds on existing legal frameworks and is proportionate and necessary to achieve its objectives, since it follows a risk-based approach and imposes regulatory burdens only when an AI system is likely to pose high risks to fundamental rights and safety. For other, non-high-risk AI systems, only very limited transparency obligations are imposed, for example in terms of the provision of information to flag the use of an AI system when interacting with humans. For high-risk AI systems, the requirements of high quality data, documentation and traceability, transparency, human oversight, accuracy and robustness, are strictly necessary to mitigate the risks to fundamental rights and safety posed by AI and that are not covered by other existing legal frameworks. Harmonised standards and supporting guidance and compliance tools will assist providers and users in complying with the requirements laid down by the proposal and minimise their costs. The costs incurred by operators are proportionate to the objectives achieved and the economic and reputational benefits that operators can expect from this proposal.

The choice of a regulation as a legal instrument is justified by the need for a uniform application of the new rules, such as definition of AI, the prohibition of certain harmful AI-enabled practices and the classification of certain AI systems. The direct applicability of a Regulation, in accordance with Article 288 TFEU, will reduce legal fragmentation and facilitate the development of a single market for lawful, safe and trustworthy AI systems. It will do so, in particular, by introducing a harmonised set of core requirements with regard to AI systems classified as high-risk and obligations for providers and users of those systems, improving the protection of fundamental rights and providing legal certainty for operators and consumers alike.

At the same time, the provisions of the regulation are not overly prescriptive and leave room for different levels of Member State action for elements that do not undermine the objectives of the initiative, in particular the internal organisation of the market surveillance system and the uptake of measures to foster innovation.

This proposal is the result of extensive consultation with all major stakeholders, in which the general principles and minimum standards for consultation of interested parties by the Commission were applied.

In total, 1215 contributions were received, of which 352 were from companies or business organisations/associations, 406 from individuals (92%individuals from EU ), 152 on behalf of academic/research institutions, and 73 from public authorities. Civil society's voices were represented by 160 respondents (among which 9 consumers' organisations, 129 non-governmental organisations and 22 trade unions), 72 respondents contributed as 'others'. Of the 352 business and industry representatives, 222 were companies and business representatives, 41.5% of which were micro, small and medium-sized enterprises. The rest were business associations. Overall, 84% of business and industry replies came from the EU-27. Depending on the question, between 81 and 598 of the respondents used the free text option to insert comments. Over 450 position papers were submitted through the EU Survey website, either in addition to questionnaire answers (over 400) or as stand-alone contributions (over 50).

Overall, there is a general agreement amongst stakeholders on a need for action. A large majority of stakeholders agree that legislative gaps exist or that new legislation is needed. However, several stakeholders warn the Commission to avoid duplication, conflicting obligations and overregulation. There were many comments underlining the importance of a technology neutral and proportionate regulatory framework.

Stakeholders mostly requested a narrow, clear and precise definition for AI. Stakeholders also highlighted that besides the clarification of the term of AI, it is important to define 'risk', 'high-risk', 'low-risk', 'remote biometric identification' and 'harm'.

Most of the respondents are explicitly in favour of the risk-based approach. Using a risk-based framework was considered a better option than blanket regulation of all AI systems. The types of risks and threats should be based on a sector-by-sector and case-by-case approach. Risks also should be calculated taking into account the impact on rights and safety.

Regulatory sandboxes could be very useful for the promotion of AI and are welcomed by certain stakeholders, especially the Business Associations.

Among those who formulated their opinion on the enforcement models, more than 50%, especially from the business associations, were in favour of a combination of an ex-ante risk self-assessment and an ex-post enforcement for high-risk AI systems.

The proposal builds on two years of analysis and close involvement of stakeholders, including academics, businesses, social partners, non-governmental organisations, Member States and citizens. The preparatory work started in 2018 with the setting up of a High-Level Expert Group on AI (HLEG) which had an inclusive and broad composition of 52 well-known experts tasked to advise the Commission on the implementation of the Commission's Strategy on Artificial Intelligence. In April 2019, the Commission supported the key requirements set out in the HLEG ethics guidelines for Trustworthy AI , which had been revised to take into account more than 500 submissions from stakeholders. The key requirements reflect a widespread and common approach, as evidenced by a plethora of ethical codes and principles developed by many private and public organisations in Europe and beyond, that AI development and use should be guided by certain essential value-oriented principles. The Assessment List for Trustworthy Artificial Intelligence (ALTAI) made those requirements operational in a piloting process with over 350 organisations.

In addition, the AI Alliance was formed as a platform for approximately 4000 stakeholders to debate the technological and societal implications of AI, culminating in a yearly AI Assembly.

The White Paper on AI further developed this inclusive approach, inciting comments from more than 1250 stakeholders, including over 450 additional position papers. As a result, the Commission published an Inception Impact Assessment, which in turn attracted more than 130 comments . Additional stakeholder workshops and events were also organised the results of which support the analysis in the impact assessment and the policy choices made in this proposal . An external study was also procured to feed into the impact assessment.

In line with its "Better Regulation" policy, the Commission conducted an impact assessment for this proposal examined by the Commission's Regulatory Scrutiny Board. A meeting with the Regulatory Scrutiny Board was held on 16 December 2020, which was followed by a negative opinion. After substantial revision of the impact assessment to address the comments and a resubmission of the impact assessment, the Regulatory Scrutiny Board issued a positive opinion on 21 March 2021. The opinions of the Regulatory Scrutiny Board, the recommendations and an explanation of how they have been taken into account are presented in Annex 1 of the impact assessment.

Four policy options of different degrees of regulatory intervention were assessed:

According to the Commission's established methodology, each policy option was evaluated against economic and societal impacts, with a particular focus on impacts on fundamental rights. The preferred option is option 3+, a regulatory framework for high-risk AI systems only, with the possibility for all providers of non-high-risk AI systems to follow a code of conduct. The requirements will concern data, documentation and traceability, provision of information and transparency, human oversight and robustness and accuracy and would be mandatory for high-risk AI systems. Companies that introduced codes of conduct for other AI systems would do so voluntarily.

The preferred option was considered suitable to address in the most effective way the objectives of this proposal. By requiring a restricted yet effective set of actions from AI developers and users, the preferred option limits the risks of violation of fundamental rights and safety of people and foster effective supervision and enforcement, by targeting the requirements only to systems where there is a high risk that such violations could occur. As a result, that option keeps compliance costs to a minimum, thus avoiding an unnecessary slowing of uptake due to higher prices and compliance costs. In order to address possible disadvantages for SMEs, this option includes several provisions to support their compliance and reduce their costs, including creation of regulatory sandboxes and obligation to consider SMEs interests when setting fees related to conformity assessment.

The preferred option will increase people's trust in AI, companies will gain in legal certainty, and Member States will see no reason to take unilateral action that could fragment the single market. As a result of higher demand due to higher trust, more available offers due to legal certainty, and the absence of obstacles to cross-border movement of AI systems, the single market for AI will likely flourish. The European Union will continue to develop a fast-growing AI ecosystem of innovative services and products embedding AI technology or stand-alone AI systems, resulting in increased digital autonomy.

The impacts of the policy options on different categories of stakeholders (economic operators/ business; conformity assessment bodies, standardisation bodies and other public bodies; individuals/citizens; researchers) are explained in detail in Annex 3 of the Impact assessment supporting this proposal.

This proposal lays down obligation that will apply to providers and users of high-risk AI systems. For providers who develop and place such systems on the Union market, it will create legal certainty and ensure that no obstacle to the cross-border provision of AI-related services and products emerge. For companies using AI, it will promote trust among their customers. For national public administrations, it will promote public trust in the use of AI and strengthen enforcement mechanisms (by introducing a European coordination mechanism, providing for appropriate capacities, and facilitating audits of the AI systems with new requirements for documentation, traceability and transparency). Moreover, the framework will envisage specific measures supporting innovation, including regulatory sandboxes and specific measures supporting small-scale users and providers of high-risk AI systems to comply with the new rules.

The proposal also specifically aims at strengthening Europe's competitiveness and industrial basis in AI. Full consistency is ensured with existing sectoral Union legislation applicable to AI systems (e.g. on products and services) that will bring further clarity and simplify the enforcement of the new rules.

The use of AI with its specific characteristics (e.g. opacity, complexity, dependency on data, autonomous behaviour) can adversely affect a number of fundamental rights enshrined in the EU Charter of Fundamental Rights ('the Charter'). This proposal seeks to ensure a high level of protection for those fundamental rights and aims to address various sources of risks through a clearly defined risk-based approach. With a set of requirements for trustworthy AI and proportionate obligations on all value chain participants, the proposal will enhance and promote the protection of the rights protected by the Charter: the right to human dignity (Article 1), respect for private life and protection of personal data (Articles 7 and 8), non-discrimination (Article 21) and equality between women and men (Article 23). It aims to prevent a chilling effect on the rights to freedom of expression (Article 11) and freedom of assembly (Article 12), to ensure protection of the right to an effective remedy and to a fair trial, the rights of defence and the presumption of innocence (Articles 47 and 48), as well as the general principle of good administration. Furthermore, as applicable in certain domains, the proposal will positively affect the rights of a number of special groups, such as the workers' rights to fair and just working conditions (Article 31), a high level of consumer protection (Article 28), the rights of the child (Article 24) and the integration of persons with disabilities (Article 26). The right to a high level of environmental protection and the improvement of the quality of the environment (Article 37) is also relevant, including in relation to the health and safety of people. The obligations for ex ante testing, risk management and human oversight will also facilitate the respect of other fundamental rights by minimising the risk of erroneous or biased AI-assisted decisions in critical areas such as education and training, employment, important services, law enforcement and the judiciary. In case infringements of fundamental rights still happen, effective redress for affected persons will be made possible by ensuring transparency and traceability of the AI systems coupled with strong ex post controls.

This proposal imposes some restrictions on the freedom to conduct business (Article 16) and the freedom of art and science (Article 13) to ensure compliance with overriding reasons of public interest such as health, safety, consumer protection and the protection of other fundamental rights ('responsible innovation') when high-risk AI technology is developed and used. Those restrictions are proportionate and limited to the minimum necessary to prevent and mitigate serious safety risks and likely infringements of fundamental rights.

The increased transparency obligations will also not disproportionately affect the right to protection of intellectual property (Article 17(2)), since they will be limited only to the minimum necessary information for individuals to exercise their right to an effective remedy and to the necessary transparency towards supervision and enforcement authorities, in line with their mandates. Any disclosure of information will be carried out in compliance with relevant legislation in the field, including Directive 2016/943 on the protection of undisclosed know-how and business information (trade secrets) against their unlawful acquisition, use and disclosure. When public authorities and notified bodies need to be given access to confidential information or source code to examine compliance with substantial obligations, they are placed under binding confidentiality obligations.

Member States will have to designate supervisory authorities in charge of implementing the legislative requirements. Their supervisory function could build on existing arrangements, for example regarding conformity assessment bodies or market surveillance, but would require sufficient technological expertise and human and financial resources. Depending on the pre-existing structure in each Member State, this could amount to 1 to 25 Full Time Equivalents per Member State.

A detailed overview of the costs involved is provided in the 'financial statement' linked to this proposal.

Providing for a robust monitoring and evaluation mechanism is crucial to ensure that the proposal will be effective in achieving its specific objectives. The Commission will be in charge of monitoring the effects of the proposal. It will establish a system for registering stand-alone high-risk AI applications in a public EU-wide database. This registration will also enable competent authorities, users and other interested people to verify if the high-risk AI system complies with the requirements laid down in the proposal and to exercise enhanced oversight over those AI systems posing high risks to fundamental rights. To feed this database, AI providers will be obliged to provide meaningful information about their systems and the conformity assessment carried out on those systems.

Moreover, AI providers will be obliged to inform national competent authorities about serious incidents or malfunctioning that constitute a breach of fundamental rights obligations as soon as they become aware of them, as well as any recalls or withdrawals of AI systems from the market. National competent authorities will then investigate the incidents/or malfunctioning, collect all the necessary information and regularly transmit it to the Commission with adequate metadata. The Commission will complement this information on the incidents by a comprehensive analysis of the overall market for AI.

The Commission will publish a report evaluating and reviewing the proposed AI framework five years following the date on which it becomes applicable.

Title I defines the subject matter of the regulation and the scope of application of the new rules that cover the placing on the market, putting into service and use of AI systems. It also sets out the definitions used throughout the instrument. The definition of AI system in the legal framework aims to be as technology neutral and future proof as possible, taking into account the fast technological and market developments related to AI. In order to provide the needed legal certainty, Title I is complemented by Annex I, which contains a detailed list of approaches and techniques for the development of AI to be adapted by the Commission in line with new technological developments. Key participants across the AI value chain are also clearly defined such as providers and users of AI systems that cover both public and private operators to ensure a level playing field.

Title III contains specific rules for AI systems that create a high risk to the health and safety or fundamental rights of natural persons. In line with a risk-based approach, those high-risk AI systems are permitted on the European market subject to compliance with certain mandatory requirements and an ex-ante conformity assessment. The classification of an AI system as high-risk is based on the intended purpose of the AI system, in line with existing product safety legislation. Therefore, the classification as high-risk does not only depend on the function performed by the AI system, but also on the specific purpose and modalities for which that system is used.

Chapter 1 of Title III sets the classification rules and identifies two main categories of high-risk AI systems:

This list of high-risk AI systems in Annex III contains a limited number of AI systems whose risks have already materialised or are likely to materialise in the near future. To ensure that the regulation can be adjusted to emerging uses and applications of AI, the Commission may expand the list of high-risk AI systems used within certain pre-defined areas, by applying a set of criteria and risk assessment methodology.

Chapter 2 sets out the legal requirements for high-risk AI systems in relation to data and data governance, documentation and recording keeping, transparency and provision of information to users, human oversight, robustness, accuracy and security. The proposed minimum requirements are already state-of-the-art for many diligent operators and the result of two years of preparatory work, derived from the Ethics Guidelines of the HLEG , piloted by more than 350 organisations . They are also largely consistent with other international recommendations and principles, which ensures that the proposed AI framework is compatible with those adopted by the EU's international trade partners . The precise technical solutions to achieve compliance with those requirements may be provided by standards or by other technical specifications or otherwise be developed in accordance with general engineering or scientific knowledge at the discretion of the provider of the AI system. This flexibility is particularly important, because it allows providers of AI systems to choose the way to meet their requirements, taking into account the state-of-the-art and technological and scientific progress in this field.

Chapter 3 places a clear set of horizontal obligations on providers of high-risk AI systems. Proportionate obligations are also placed on users and other participants across the AI value chain (e.g., importers, distributors, authorized representatives).

Chapter 4 sets the framework for notified bodies to be involved as independent third parties in conformity assessment procedures, while Chapter 5 explains in detail the conformity assessment procedures to be followed for each type of high-risk AI system. The conformity assessment approach aims to minimise the burden for economic operators as well as for notified bodies, whose capacity needs to be progressively ramped up over time. AI systems intended to be used as safety components of products that are regulated under the New Legislative Framework legislation (e.g. machinery, toys, medical devices, etc.) will be subject to the same ex-ante and ex-post compliance and enforcement mechanisms of the products of which they are a component. The key difference is that the ex-ante and ex-post mechanisms will ensure compliance not only with the requirements established by sectorial legislation, but also with the requirements established by this regulation.

As regards stand-alone high-risk AI systems that are referred to in Annex III, a new compliance and enforcement system will be established. This follows the model of the New Legislative Framework legislation implemented through internal control checks by the providers with the exception of remote biometric identification systems that would be subject to third party conformity assessment. A comprehensive ex-ante conformity assessment through internal checks, combined with a strong ex-post enforcement, could be an effective and reasonable solution for those systems, given the early phase of the regulatory intervention and the fact the AI sector is very innovative and expertise for auditing is only now being accumulated. An assessment through internal checks for 'stand-alone' high-risk AI systems would require a full, effective and properly documented ex ante compliance with all requirements of the regulation and compliance with robust quality and risk management systems and post-market monitoring. After the provider has performed the relevant conformity assessment, it should register those stand-alone high-risk AI systems in an EU database that will be managed by the Commission to increase public transparency and oversight and strengthen ex post supervision by competent authorities. By contrast, for reasons of consistency with the existing product safety legislation, the conformity assessments of AI systems that are safety components of products will follow a system with third party conformity assessment procedures already established under the relevant sectoral product safety legislation. New ex ante re-assessments of the conformity will be needed in case of substantial modifications to the AI systems (and notably changes which go beyond what is pre-determined by the provider in its technical documentation and checked at the moment of the ex-ante conformity assessment).

Title IV concerns certain AI systems to take account of the specific risks of manipulation they pose. Transparency obligations will apply for systems that (i) interact with humans, (ii) are used to detect emotions or determine association with (social) categories based on biometric data, or (iii) generate or manipulate content ('deep fakes'). When persons interact with an AI system or their emotions or characteristics are recognised through automated means, people must be informed of that circumstance. If an AI system is used to generate or manipulate image, audio or video content that appreciably resembles authentic content, there should be an obligation to disclose that the content is generated through automated means, subject to exceptions for legitimate purposes (law enforcement, freedom of expression). This allows persons to make informed choices or step back from a given situation.

Title V contributes to the objective to create a legal framework that is innovation-friendly, future-proof and resilient to disruption. To that end, it encourages national competent authorities to set up regulatory sandboxes and sets a basic framework in terms of governance, supervision and liability. AI regulatory sandboxes establish a controlled environment to test innovative technologies for a limited time on the basis of a testing plan agreed with the competent authorities. Title V also contains measures to reduce the regulatory burden on SMEs and start-ups.

Title VI sets up the governance systems at Union and national level. At Union level, the proposal establishes a European Artificial Intelligence Board (the 'Board'), composed of representatives from the Member States and the Commission. The Board will facilitate a smooth, effective and harmonised implementation of this regulation by contributing to the effective cooperation of the national supervisory authorities and the Commission and providing advice and expertise to the Commission. It will also collect and share best practices among the Member States.

At national level, Member States will have to designate one or more national competent authorities and, among them, the national supervisory authority, for the purpose of supervising the application and implementation of the regulation. The European Data Protection Supervisor will act as the competent authority for the supervision of the Union institutions, agencies and bodies when they fall within the scope of this regulation.

Title VII aims to facilitate the monitoring work of the Commission and national authorities through the establishment of an EU-wide database for stand-alone high-risk AI systems with mainly fundamental rights implications. The database will be operated by the Commission and provided with data by the providers of the AI systems, who will be required to register their systems before placing them on the market or otherwise putting them into service.

Title VIII sets out the monitoring and reporting obligations for providers of AI systems with regard to post-market monitoring and reporting and investigating on AI-related incidents and malfunctioning. Market surveillance authorities would also control the market and investigate compliance with the obligations and requirements for all high-risk AI systems already placed on the market. Market surveillance authorities would have all powers under Regulation (EU) 2019/1020 on market surveillance. Ex-post enforcement should ensure that once the AI system has been put on the market, public authorities have the powers and resources to intervene in case AI systems generate unexpected risks, which warrant rapid action. They will also monitor compliance of operators with their relevant obligations under the regulation. The proposal does not foresee the automatic creation of any additional bodies or authorities at Member State level. Member States may therefore appoint (and draw upon the expertise of) existing sectorial authorities, who would be entrusted also with the powers to monitor and enforce the provisions of the regulation.

All this is without prejudice to the existing system and allocation of powers of ex-post enforcement of obligations regarding fundamental rights in the Member States. When necessary for their mandate, existing supervision and enforcement authorities will also have the power to request and access any documentation maintained following this regulation and, where needed, request market surveillance authorities to organise testing of the high-risk AI system through technical means.

Title IX creates a framework for the creation of codes of conduct, which aim to encourage providers of non-high-risk AI systems to apply voluntarily the mandatory requirements for high-risk AI systems (as laid out in Title III). Providers of non-high-risk AI systems may create and implement the codes of conduct themselves. Those codes may also include voluntary commitments related, for example, to environmental sustainability, accessibility for persons with disability, stakeholders' participation in the design and development of AI systems, and diversity of development teams.

Title XI sets out rules for the exercise of delegation and implementing powers. The proposal empowers the Commission to adopt, where appropriate, implementing acts to ensure uniform application of the regulation or delegated acts to update or complement the lists in Annexes I to VII.

Title XII contains an obligation for the Commission to assess regularly the need for an update of Annex III and to prepare regular reports on the evaluation and review of the regulation. It also lays down final provisions, including a differentiated transitional period for the initial date of the applicability of the regulation to facilitate the smooth implementation for all parties concerned.

2021/0106 (COD)

Proposal for a

REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL

LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS

THE EUROPEAN PARLIAMENT AND THE COUNCIL OF THE EUROPEAN UNION,

Having regard to the Treaty on the Functioning of the European Union, and in particular Articles 16 and 114 thereof,

Having regard to the proposal from the European Commission,

After transmission of the draft legislative act to the national parliaments,

Having regard to the opinion of the European Economic and Social Committee ,

Having regard to the opinion of the Committee of the Regions ,

Acting in accordance with the ordinary legislative procedure,

A Union legal framework laying down harmonised rules on artificial intelligence is therefore needed to foster the development, use and uptake of artificial intelligence in the internal market that at the same time meets a high level of protection of public interests, such as health and safety and the protection of fundamental rights, as recognised and protected by Union law. To achieve that objective, rules regulating the placing on the market and putting into service of certain AI systems should be laid down, thus ensuring the smooth functioning of the internal market and allowing those systems to benefit from the principle of free movement of goods and services. By laying down those rules, this Regulation supports the objective of the Union of being a global leader in the development of secure, trustworthy and ethical artificial intelligence, as stated by the European Council , and it ensures the protection of ethical principles, as specifically requested by the European Parliament .

The notion of biometric data used in this Regulation is in line with and should be interpreted consistently with the notion of biometric data as defined in Article 4(14) of Regulation (EU) 2016/679 of the European Parliament and of the Council , Article 3(18) of Regulation (EU) 2018/1725 of the European Parliament and of the Council and Article 3(13) of Directive (EU) 2016/680 of the European Parliament and of the Council .

The use of those systems for the purpose of law enforcement should therefore be prohibited, except in three exhaustively listed and narrowly defined situations, where the use is strictly necessary to achieve a substantial public interest, the importance of which outweighs the risks. Those situations involve the search for potential victims of crime, including missing children; certain threats to the life or physical safety of natural persons or of a terrorist attack; and the detection, localisation, identification or prosecution of perpetrators or suspects of the criminal offences referred to in Council Framework Decision 2002/584/JHA if those criminal offences are punishable in the Member State concerned by a custodial sentence or a detention order for a maximum period of at least three years and as they are defined in the law of that Member State . Such threshold for the custodial sentence or detention order in accordance with national law contributes to ensure that the offence should be serious enough to potentially justify the use of 'real-time' remote biometric identification systems. Moreover, of the 32 criminal offences listed in the Council Framework Decision 2002/584/JHA, some are in practice likely to be more relevant than others, in that the recourse to 'real-time' remote biometric identification will foreseeably be necessary and proportionate to highly varying degrees for the practical pursuit of the detection, localisation, identification or prosecution of a perpetrator or suspect of the different criminal offences listed and having regard to the likely differences in the seriousness, probability and scale of the harm or possible negative consequences.

In order to ensure that those systems are used in a responsible and proportionate manner, it is also important to establish that, in each of those three exhaustively listed and narrowly defined situations, certain elements should be taken into account, in particular as regards the nature of the situation giving rise to the request and the consequences of the use for the rights and freedoms of all persons concerned and the safeguards and conditions provided for with the use. In addition, the use of 'real-time' remote biometric identification systems in publicly accessible spaces for the purpose of law enforcement should be subject to appropriate limits in time and space, having regard in particular to the evidence or indications regarding the threats, the victims or perpetrator. The reference database of persons should be appropriate for each use case in each of the three situations mentioned above.

The use of AI systems for 'real-time' remote biometric identification of natural persons in publicly accessible spaces for the purpose of law enforcement necessarily involves the processing of biometric data. The rules of this Regulation that prohibit, subject to certain exceptions, such use, which are based on Article 16 TFEU, should apply as lex specialis in respect of the rules on the processing of biometric data contained in Article 10 of Directive (EU) 2016/680, thus regulating such use and the processing of biometric data involved in an exhaustive manner. Therefore, such use and processing should only be possible in as far as it is compatible with the framework set by this Regulation, without there being scope, outside that framework, for the competent authorities, where they act for purpose of law enforcement, to use such systems and process such data in connection thereto on the grounds listed in Article 10 of Directive (EU) 2016/680. In this context, this Regulation is not intended to provide the legal basis for the processing of personal data under Article 8 of Directive 2016/680. However , the use of 'real-time' remote biometric identification systems in publicly accessible spaces for purposes other than law enforcement, including by competent authorities, should not be covered by the specific framework regarding such use for the purpose of law enforcement set by this Regulation. Such use for purposes other than law enforcement should therefore not be subject to the requirement of an authorisation under this Regulation and the applicable detailed rules of national law that may give effect to it.

As regards high-risk AI systems that are safety components of products or systems, or which are themselves products or systems falling within the scope of Regulation (EC) No 300/2008 of the European Parliament and of the Council , Regulation (EU) No 167/2013 of the European Parliament and of the Council , Regulation (EU) No 168/2013 of the European Parliament and of the Council , Directive 2014/90/EU of the European Parliament and of the Council , Directive (EU) 2016/797 of the European Parliament and of the Council , Regulation (EU) 2018/858 of the European Parliament and of the Council , Regulation (EU) 2018/1139 of the European Parliament and of the Council , and Regulation (EU) 2019/2144 of the European Parliament and of the Council , it is appropriate to amend those acts to ensure that the Commission takes into account, on the basis of the technical and regulatory specificities of each sector, and without interfering with existing governance, conformity assessment and enforcement mechanisms and authorities established therein, the mandatory requirements for high-risk AI systems laid down in this Regulation when adopting any relevant future delegated or implementing acts on the basis of those acts.

The classification of an AI system as high-risk pursuant to this Regulation should not necessarily mean that the product whose safety component is the AI system, or the AI system itself as a product, is considered 'high-risk' under the criteria established in the relevant Union harmonisation legislation that applies to the product. This is notably the case for Regulation (EU) 2017/745 of the European Parliament and of the Council and Regulation (EU) 2017/746 of the European Parliament and of the Council , where a third-party conformity assessment is provided for medium-risk and high-risk products.

Actions by law enforcement authorities involving certain uses of AI systems are characterised by a significant degree of power imbalance and may lead to surveillance, arrest or deprivation of a natural person's liberty as well as other adverse impacts on fundamental rights guaranteed in the Charter. In particular, if the AI system is not trained with high quality data, does not meet adequate requirements in terms of its accuracy or robustness, or is not properly designed and tested before being put on the market or otherwise put into service, it may single out people in a discriminatory or otherwise incorrect or unjust manner. Furthermore, the exercise of important procedural fundamental rights, such as the right to an effective remedy and to a fair trial as well as the right of defence and the presumption of innocence, could be hampered, in particular, where such AI systems are not sufficiently transparent, explainable and documented. It is therefore appropriate to classify as high-risk a number of AI systems intended to be used in the law enforcement context where accuracy, reliability and transparency is particularly important to avoid adverse impacts, retain public trust and ensure accountability and effective redress. In view of the nature of the activities in question and the risks relating thereto, those high-risk AI systems should include in particular AI systems intended to be used by law enforcement authorities for individual risk assessments, polygraphs and similar tools or to detect the emotional state of natural person, to detect 'deep fakes', for the evaluation of the reliability of evidence in criminal proceedings, for predicting the occurrence or reoccurrence of an actual or potential criminal offence based on profiling of natural persons, or assessing personality traits and characteristics or past criminal behaviour of natural persons or groups, for profiling in the course of detection, investigation or prosecution of criminal offences, as well as for crime analytics regarding natural persons. AI systems specifically intended to be used for administrative proceedings by tax and customs authorities should not be considered high-risk AI systems used by law enforcement authorities for the purposes of prevention, detection, investigation and prosecution of criminal offences.

AI systems used in migration, asylum and border control management affect people who are often in particularly vulnerable position and who are dependent on the outcome of the actions of the competent public authorities. The accuracy, non-discriminatory nature and transparency of the AI systems used in those contexts are therefore particularly important to guarantee the respect of the fundamental rights of the affected persons, notably their rights to free movement, non-discrimination, protection of private life and personal data, international protection and good administration. It is therefore appropriate to classify as high-risk AI systems intended to be used by the competent public authorities charged with tasks in the fields of migration, asylum and border control management as polygraphs and similar tools or to detect the emotional state of a natural person; for assessing certain risks posed by natural persons entering the territory of a Member State or applying for visa or asylum; for verifying the authenticity of the relevant documents of natural persons; for assisting competent public authorities for the examination of applications for asylum, visa and residence permits and associated complaints with regard to the objective to establish the eligibility of the natural persons applying for a status. AI systems in the area of migration, asylum and border control management covered by this Regulation should comply with the relevant procedural requirements set by the Directive 2013/32/EU of the European Parliament and of the Council , the Regulation (EC) No 810/2009 of the European Parliament and of the Council and other relevant legislation.

Certain AI systems intended for the administration of justice and democratic processes should be classified as high-risk, considering their potentially significant impact on democracy, rule of law, individual freedoms as well as the right to an effective remedy and to a fair trial. In particular, to address the risks of potential biases, errors and opacity, it is appropriate to qualify as high-risk AI systems intended to assist judicial authorities in researching and interpreting facts and the law and in applying the law to a concrete set of facts. Such qualification should not extend, however, to AI systems intended for purely ancillary administrative activities that do not affect the actual administration of justice in individual cases, such as anonymisation or pseudonymisation of judicial decisions, documents or data, communication between personnel, administrative tasks or allocation of resources.

The fact that an AI system is classified as high risk under this Regulation should not be interpreted as indicating that the use of the system is necessarily lawful under other acts of Union law or under national law compatible with Union law, such as on the protection of personal data, on the use of polygraphs and similar tools or other systems to detect the emotional state of natural persons . Any such use should continue to occur solely in accordance with the applicable requirements resulting from the Charter and from the applicable acts of secondary Union law and national law. This Regulation should not be understood as providing for the legal ground for processing of personal data, including special categories of personal data, where relevant .

As part of Union harmonisation legislation, rules applicable to the placing on the market, putting into service and use of high-risk AI systems should be laid down consistently with Regulation (EC) No 765/2008 of the European Parliament and of the Council setting out the requirements for accreditation and the market surveillance of products, Decision No 768/2008/EC of the European Parliament and of the Council on a common framework for the marketing of products and Regulation (EU) 2019/1020 of the European Parliament and of the Council on market surveillance and compliance of products (' New Legislative Framework for the marketing of products').

Standardisation should play a key role to provide technical solutions to providers to ensure compliance with this Regulation. Compliance with harmonised standards as defined in Regulation (EU) No 1025/2012 of the European Parliament and of the Council should be a means for providers to demonstrate conformity with the requirements of this Regulation. However, the Commission could adopt common technical specifications in areas where no harmonised standards exist or where they are insufficient.

In order to facilitate the work of the Commission and the Member States in the artificial intelligence field as well as to increase the transparency towards the public, providers of high-risk AI systems other than those related to products falling within the scope of relevant existing Union harmonisation legislation, should be required to register their high-risk AI system in a EU database , to be established and managed by the Commission. The Commission should be the controller of that database, in accordance with Regulation (EU) 2018/1725 of the European Parliament and of the Council . In order to ensure the full functionality of the database, when deployed, the procedure for setting the database should include the elaboration of functional specifications by the Commission and an independent audit report.

Union legislation on financial services includes internal governance and risk management rules and requirements which are applicable to regulated financial institutions in the course of provision of those services, including when they make use of AI systems. In order to ensure coherent application and enforcement of the obligations under this Regulation and relevant rules and requirements of the Union financial services legislation, the authorities responsible for the supervision and enforcement of the financial services legislation, including where applicable the European Central Bank , should be designated as competent authorities for the purpose of supervising the implementation of this Regulation, including for market surveillance activities, as regards AI systems provided or used by regulated and supervised financial institutions. To further enhance the consistency between this Regulation and the rules applicable to credit institutions regulated under Directive 2013/36/EU of the European Parliament and of the Council , it is also appropriate to integrate the conformity assessment procedure and some of the providers' procedural obligations in relation to risk management, post marketing monitoring and documentation into the existing obligations and procedures under Directive 2013/36/EU. In order to avoid overlaps, limited derogations should also be envisaged in relation to the quality management system of providers and the monitoring obligation placed on users of high-risk AI systems to the extent that these apply to credit institutions regulated by Directive 2013/36/EU.

It is important that AI systems related to products that are not high-risk in accordance with this Regulation and thus are not required to comply with the requirements set out herein are nevertheless safe when placed on the market or put into service. To contribute to this objective, the Directive 2001/95/EC of the European Parliament and of the Council would apply as a safety net.

This Regulation should apply from ... [ OP - please insert the date established in Art. 85 ]. However, the infrastructure related to the governance and the conformity assessment system should be operational before that date, therefore the provisions on notified bodies and governance structure should apply from ... [ OP - please insert the date - three months following the entry into force of this Regulation ] . In addition, Member States should lay down and notify to the Commission the rules on penalties, including administrative fines, and ensure that they are properly and effectively implemented by the date of application of this Regulation. Therefore the provisions on penalties should apply from [ OP - please insert the date - twelve months following the entry into force of this Regulation ] .

HAVE ADOPTED THIS REGULATION:

GENERAL PROVISIONS

This Regulation lays down:

This Regulation shall not affect the application of the provisions on the liability of intermediary service providers set out in Chapter II, Section IV of Directive 2000/31/EC of the European Parliament and of the Council [ as to be replaced by the corresponding provisions of the Digital Services Act ].

For the purpose of this Regulation, the following definitions apply:

'small-scale provider' means a provider that is a micro or small enterprise within the meaning of Commission Recommendation 2003/361/EC ;

The Commission is empowered to adopt delegated acts in accordance with Article 73 to amend the list of techniques and approaches listed in Annex I, in order to update that list to market and technological developments on the basis of characteristics that are similar to the techniques and approaches listed therein.

PROHIBITED ARTIFICIAL INTELLIGENCE PRACTICES

the detection, localisation, identification or prosecution of a perpetrator or suspect of a criminal offence referred to in Article 2(2) of Council Framework Decision 2002/584/JHA and punishable in the Member State concerned by a custodial sentence or a detention order for a maximum period of at least three years, as determined by the law of that Member State.

In addition, the use of 'real-time' remote biometric identification systems in publicly accessible spaces for the purpose of law enforcement for any of the objectives referred to in paragraph 1 point d) shall comply with necessary and proportionate safeguards and conditions in relation to the use, in particular as regards the temporal, geographic and personal limitations.

The competent judicial or administrative authority shall only grant the authorisation where it is satisfied, based on objective evidence or clear indications presented to it, that the use of the 'real-time' remote biometric identification system at issue is necessary for and proportionate to achieving one of the objectives specified in paragraph 1, point (d), as identified in the request. In deciding on the request, the competent judicial or administrative authority shall take into account the elements referred to in paragraph 2.

HIGH-RISK AI SYSTEMS

CLASSIFICATION OF AI SYSTEMS AS HIGH-RISK

requirements for high-risk Ai systems

In identifying the most appropriate risk management measures, the following shall be ensured:

In eliminating or reducing risks related to the use of the high-risk AI system, due consideration shall be given to the technical knowledge, experience, education, training to be expected by the user and the environment in which the system is intended to be used.

The technical documentation shall be drawn up in such a way to demonstrate that the high-risk AI system complies with the requirements set out in this Chapter and provide national competent authorities and notified bodies with all the necessary information to assess the compliance of the AI system with those requirements. It shall contain, at a minimum, the elements set out in Annex IV.

The robustness of high-risk AI systems may be achieved through technical redundancy solutions, which may include backup or fail-safe plans.

High-risk AI systems that continue to learn after being placed on the market or put into service shall be developed in such a way to ensure that possibly biased outputs due to outputs used as an input for future operations ('feedback loops') are duly addressed with appropriate mitigation measures.

The technical solutions aimed at ensuring the cybersecurity of high-risk AI systems shall be appropriate to the relevant circumstances and the risks.

The technical solutions to address AI specific vulnerabilities shall include, where appropriate, measures to prevent and control for attacks trying to manipulate the training dataset ('data poisoning'), inputs designed to cause the model to make a mistake ('adversarial examples'), or model flaws.

OBLIGATIONS OF PROVIDERS AND USERS OF HIGH-RISK AI SYSTEMS and other parties

Providers of high-risk AI systems shall:

Providers of high-risk AI systems which consider or have reason to consider that a high-risk AI system which they have placed on the market or put into service is not in conformity with this Regulation shall immediately take the necessary corrective actions to bring that system into conformity, to withdraw it or to recall it, as appropriate. They shall inform the distributors of the high-risk AI system in question and, where applicable, the authorised representative and importers accordingly.

Where the high-risk AI system presents a risk within the meaning of Article 65(1) and that risk is known to the provider of the system, that provider shall immediately inform the national competent authorities of the Member States in which it made the system available and, where applicable, the notified body that issued a certificate for the high-risk AI system, in particular of the non-compliance and of any corrective actions taken.

Providers of high-risk AI systems shall, upon request by a national competent authority, provide that authority with all the information and documentation necessary to demonstrate the conformity of the high-risk AI system with the requirements set out in Chapter 2 of this Title, in an official Union language determined by the Member State concerned. Upon a reasoned request from a national competent authority, providers shall also give that authority access to the logs automatically generated by the high-risk AI system, to the extent such logs are under their control by virtue of a contractual arrangement with the user or otherwise by law.

Where a high-risk AI system related to products to which the legal acts listed in Annex II, section A, apply, is placed on the market or put into service together with the product manufactured in accordance with those legal acts and under the name of the product manufacturer, the manufacturer of the product shall take the responsibility of the compliance of the AI system with this Regulation and, as far as the AI system is concerned, have the same obligations imposed by the present Regulation on the provider.

Conformity assessment bodies established under the law of a third country with which the Union has concluded an agreement may be authorised to carry out the activities of notified Bodies under this Regulation.

STANDARDS, CONFORMITY ASSESSMENT, CERTIFICATES, REGISTRATION

High-risk AI systems which are in conformity with harmonised standards or parts thereof the references of which have been published in the Official Journal of the European Union shall be presumed to be in conformity with the requirements set out in Chapter 2 of this Title, to the extent those standards cover those requirements.

Where, in demonstrating the compliance of a high-risk AI system with the requirements set out in Chapter 2 of this Title, the provider has not applied or has applied only in part harmonised standards referred to in Article 40, or where such harmonised standards do not exist and common specifications referred to in Article 41 are not available, the provider shall follow the conformity assessment procedure set out in Annex VII.

For the purpose of the conformity assessment procedure referred to in Annex VII, the provider may choose any of the notified bodies. However, when the system is intended to be put into service by law enforcement, immigration or asylum authorities as well as EU institutions, bodies or agencies, the market surveillance authority referred to in Article 63(5) or (6), as applicable, shall act as a notified body.

For the purpose of that assessment, notified bodies which have been notified under those legal acts shall be entitled to control the conformity of the high-risk AI systems with the requirements set out in Chapter 2 of this Title, provided that the compliance of those notified bodies with requirements laid down in Article 33(4), (9) and (10) has been assessed in the context of the notification procedure under those legal acts.

Where the legal acts listed in Annex II, section A, enable the manufacturer of the product to opt out from a third-party conformity assessment, provided that that manufacturer has applied all harmonised standards covering all the relevant requirements, that manufacturer may make use of that option only if he has also applied harmonised standards or, where applicable, common specifications referred to in Article 41, covering the requirements set out in Chapter 2 of this Title.

For high-risk AI systems that continue to learn after being placed on the market or put into service, changes to the high-risk AI system and its performance that have been pre-determined by the provider at the moment of the initial conformity assessment and are part of the information contained in the technical documentation referred to in point 2(f) of Annex IV, shall not constitute a substantial modification.

Member States shall ensure that an appeal procedure against decisions of the notified bodies is available to parties having a legitimate interest in that decision.

The provider shall, for a period ending 10 years after the AI system has been placed on the market or put into service, keep at the disposal of the national competent authorities:

Before placing on the market or putting into service a high-risk AI system referred to in Article 6(2), the provider or, where applicable, the authorised representative shall register that system in the EU database referred to in Article 60.

TRANSPARENCY OBLIGATIONS FOR CERTAIN AI SYSTEMS

However, the first subparagraph shall not apply where the use is authorised by law to detect, prevent, investigate and prosecute criminal offences or it is necessary for the exercise of the right to freedom of expression and the right to freedom of the arts and sciences guaranteed in the Charter of Fundamental Rights of the EU, and subject to appropriate safeguards for the rights and freedoms of third parties.

MEASURES IN SUPPORT OF INNOVATION

Article 54
Further processing of personal data for developing certain AI systems in the public interest in the AI regulatory sandbox

European Artificial Intelligence Board

Article 56
Establishment of the European Artificial Intelligence Board

When providing advice and assistance to the Commission in the context of Article 56(2), the Board shall in particular:

national competent authorities

EU DATABASE FOR STAND-ALONE HIGH-RISK AI SYSTEMS

POST-MARKET MONITORING, INFORMATION SHARING, MARKET SURVEILLANCE

Post-market monitoring

The first subparagraph shall also apply to high-risk AI systems referred to in point 5(b) of Annex III placed on the market or put into service by credit institutions regulated by Directive 2013/36/EU.

Sharing of information on incidents and malfunctioning

Such notification shall be made immediately after the provider has established a causal link between the AI system and the incident or malfunctioning or the reasonable likelihood of such a link, and, in any event, not later than 15 days after the providers becomes aware of the serious incident or of the malfunctioning.

Enforcement

When the law enforcement, immigration or asylum authorities are providers of high-risk AI systems referred to in points 1, 6 and 7 of Annex III, the technical documentation referred to in Annex IV shall remain within the premises of those authorities. Those authorities shall ensure that the market surveillance authorities referred to in Article 63(5) and (6), as applicable, can, upon request, immediately access the documentation or obtain a copy thereof. Only staff of the market surveillance authority holding the appropriate level of security clearance shall be allowed to access that documentation or any copy thereof.

Article 72
Administrative fines on Union institutions, agencies and bodies

DELEGATION OF POWER AND COMMITTEE PROCEDURE

FINAL PROVISIONS

In Article 4(3) of Regulation (EC) No 300/2008, the following subparagraph is added:

"When adopting detailed measures related to technical specifications and procedures for approval and use of security equipment concerning Artificial Intelligence systems in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence] of the European Parliament and of the Council*, the requirements set out in Chapter 2, Title III of that Regulation shall be taken into account."

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...)."

In Article 17(5) of Regulation (EU) No 167/2013, the following subparagraph is added:

"When adopting delegated acts pursuant to the first subparagraph concerning artificial intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence] of the European Parliament and of the Council*, the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account.

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...)."

In Article 22(5) of Regulation (EU) No 168/2013, the following subparagraph is added:

"When adopting delegated acts pursuant to the first subparagraph concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX on [Artificial Intelligence] of the European Parliament and of the Council*, the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account.

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...)."

In Article 8 of Directive 2014/90/EU, the following paragraph is added:

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...).".

In Article 5 of Directive (EU) 2016/797, the following paragraph is added:

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...).".

In Article 5 of Regulation (EU) 2018/858 the following paragraph is added:

"4. When adopting delegated acts pursuant to paragraph 3 concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence] of the European Parliament and of the Council *, the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account.

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...).".

Regulation (EU) 2018/1139 is amended as follows:

(1) In Article 17, the following paragraph is added:

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...)."

(2) In Article 19, the following paragraph is added:

"4. When adopting delegated acts pursuant to paragraphs 1 and 2 concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence], the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account."

(3) In Article 43, the following paragraph is added:

"4. When adopting implementing acts pursuant to paragraph 1 concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence], the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account."

(4) In Article 47, the following paragraph is added:

"3. When adopting delegated acts pursuant to paragraphs 1 and 2 concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence], the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account."

(5) In Article 57, the following paragraph is added:

"When adopting those implementing acts concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence], the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account."

(6) In Article 58, the following paragraph is added:

"3. When adopting delegated acts pursuant to paragraphs 1 and 2 concerning Artificial Intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence] , the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account.".

In Article 11 of Regulation (EU) 2019/2144, the following paragraph is added:

"3. When adopting the implementing acts pursuant to paragraph 2, concerning artificial intelligence systems which are safety components in the meaning of Regulation (EU) YYY/XX [on Artificial Intelligence] of the European Parliament and of the Council*, the requirements set out in Title III, Chapter 2 of that Regulation shall be taken into account.

* Regulation (EU) YYY/XX [on Artificial Intelligence] (OJ ...).".

The requirements laid down in this Regulation shall be taken into account, where applicable, in the evaluation of each large-scale IT systems established by the legal acts listed in Annex IX to be undertaken as provided for in those respective acts.

This Regulation shall be binding in its entirety and directly applicable in all Member States.

Done at Brussels,

For the European Parliament For the Council

The President The President

LEGISLATIVE FINANCIAL STATEMENT

1.1. Title of the proposal/initiative

1.2. Policy area(s) concerned

1.3. The proposal/initiative relates to:

1.4. Objective(s)

1.4.2. Specific objective(s)

1.4.3. Expected result(s) and impact

1.4.4. Indicators of performance

1.5. Grounds for the proposal/initiative

1.5.1. Requirement(s) to be met in the short or long term including a detailed timeline for roll-out of the implementation of the initiative

1.5.2. Added value of Union involvement (it may result from different factors, e.g. coordination gains, legal certainty, greater effectiveness or complementarities). For the purposes of this point 'added value of Union involvement' is the value resulting from Union intervention which is additional to the value that would have been otherwise created by Member States alone

1.5.3. Lessons learned from similar experiences in the past

1.5.4. Compatibility with the Multiannual Financial Framework and possible synergies with other appropriate instruments

1.5.5 Assessment of the different available financing options, including scope for redeployment

1.6. Duration and financial impact of the proposal/initiative

1.7. Management mode(s) planned

2.1. Monitoring and reporting rules

2.2. Management and control system

2.2.1. Justification of the management mode(s), the funding implementation mechanism(s), the payment modalities and the control strategy proposed

2.2.2. Information concerning the risks identified and the internal control system(s) set up to mitigate them

2.2.3. Estimation and justification of the cost-effectiveness of the controls (ratio of "control costs ÷ value of the related funds managed"), and assessment of the expected levels of risk of error (at payment & at closure)

2.3.Measures to prevent fraud and irregularities

3.1.Heading(s) of the multiannual financial framework and expenditure budget line(s) affected

3.2.Estimated financial impact of the proposal on appropriations

3.2.1.Summary of estimated impact on operational appropriations

3.2.2.Estimated output funded with operational appropriations

3.2.3. Summary of estimated impact on administrative appropriations

3.2.4.Compatibility with the current multiannual financial framework

3.2.5.Third-party contributions

3.3.Estimated impact on revenue

LEGISLATIVE FINANCIAL STATEMENT

Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts

Communications Networks, Content and Technology;

Internal Market, Industry, Entrepreneurship and SMEs;

The budgetary impact concerns the new tasks entrusted with the Commission, including the support to the EU AI Board;

Activity: Shaping Europe's digital future.

The general objective of the intervention is to ensure the proper functioning of the single market by creating the conditions for the development and use of trustworthy artificial intelligence in the Union.

Specific objective No 1

To set requirements specific to AI systems and obligations on all value chain participants in order to ensure that AI systems placed on the market and used are safe and respect existing law on fundamental rights and Union values;

Specific objective No 2

To ensure legal certainty to facilitate investment and innovation in AI by making it clear what essential requirements, obligations, as well as conformity and compliance procedures must be followed to place or use an AI system in the Union market;

Specific objective No 3

To enhance governance and effective enforcement of existing law on fundamental rights and safety requirements applicable to AI systems by providing new powers, resources and clear rules for relevant authorities on conformity assessment and ex post monitoring procedures and the division of governance and supervision tasks between national and EU levels;

Specific objective No 4

To facilitate the development of a single market for lawful, safe and trustworthy AI applications and prevent market fragmentation by taking EU action to set minimum requirement for AI systems to be placed and used in the Union market in compliance with existing law on fundamental rights and safety.

Specify the effects which the proposal/initiative should have on the beneficiaries/groups targeted.

AI suppliers should benefit from a minimal but clear set of requirements, creating legal certainty and ensuring access to the entire single market.

AI users should benefit from legal certainty that the high-risk AI systems they buy comply with European laws and values.

Consumers should benefit by reducing the risk of violations of their safety or fundamental rights.

Specify the indicators for monitoring implementation of the proposal/initiative.

Indicator 1

Number of serious incidents or AI performances which constitute a serious incident or a breach of fundamental rights obligations (semi-annual) by fields of applications and calculated a) in absolute terms, b) as share of applications deployed and c) as share of citizens concerned.

Indicator 2

a) Total AI investment in the EU (annual)

b) Total AI investment by Member State (annual)

c) Share of companies using AI (annual)

d) Share of SMEs using AI (annual)

a) and b) will be calculated based on official sources and benchmarked against private estimates

c) and d) will be collected by regular company surveys

The Regulation should be fully applicable one year and a half after its adoption. However, elements of the governance structure should be in place before then. In particular, Member States shall have appointed existing authorities and/or established new authorities performing the tasks set out in the legislation earlier, and the EU AI Board should be set-up and effective. By the time of applicability, the European database of AI systems should be fully operative. In parallel to the adoption process, it is therefore necessary to develop the database, so that its development has come to an end when the regulation enters into force.

An emerging patchy framework of potentially divergent national rules will hamper the seamless provision of AI systems across the EU and is ineffective in ensuring the safety and protection of fundamental rights and Union values across the different Member States. A common EU legislative action on AI could boost the internal market and has great potential to provide European industry with a competitive edge at the global scene and economies of scale that cannot be achieved by individual Member States alone.

The E-commerce Directive 2000/31/EC provides the core framework for the functioning of the single market and the supervision of digital services and sets a basic structure for a general cooperation mechanism among Member States, covering in principle all requirements applicable to digital services. The evaluation of the Directive pointed to shortcomings in several aspects of this cooperation mechanism, including important procedural aspects such as the lack of clear timeframes for response from Member States coupled with a general lack of responsiveness to requests from their counterparts. This has led over the years to a lack of trust between Member States in addressing concerns about providers offering digital services cross-border. The evaluation of the Directive showed the need to define a differentiated set of rules and requirements at European level. For this reason, the implementation of the specific obligations laid down in this Regulation would require a specific cooperation mechanism at EU level, with a governance structure ensuring coordination of specific responsible bodies at EU level.

The Regulation Laying Down Harmonised Rules on Artificial Intelligence and Amending Certain Union Legislative Acts defines a new common framework of requirements applicable to AI systems, which goes well beyond the framework provided by existing legislation. For this reason, a new national and European regulatory and coordination function needs to be established with this proposal.

As regards possible synergies with other appropriate instruments, the role of notifying authorities at national level can be performed by national authorities fulfilling similar functions sunder other EU regulations.

Moreover, by increasing trust in AI and thus encouraging investment in development and adoption of AI, it complements Digital Europe, for which promoting the diffusion of AI is one of five priorities.

The staff will be redeployed. The other costs will be supported from the DEP. envelope, given that the objective of this regulation - ensuring trustworthy AI - contributes directly to one key objective of Digital Europe - accelerating AI development and deployment in Europe.

Specify frequency and conditions.

The Regulation will be reviewed and evaluated five years from the entry into force of the regulation. The Commission will report on the findings of the evaluation to the European Parliament, the Council and the European Economic and Social Committee.

The Regulation establishes a new policy with regard to harmonised rules for the provision of artificial intelligence systems in the internal market while ensuring the respect of safety and fundamental rights. These new rules require a consistency mechanism for the cross-border application of the obligations under this Regulation in the form of a new advisory group coordinating the activities of national authorities.

In order to face these new tasks, it is necessary to appropriately resource the Commission's services. The enforcement of the new Regulation is estimated to require 10 FTE à regime (5 FTE for the support to the activities of the Board and 5 FTE for the European Data Protection Supervisor acting as a notifying body for AI systems deployed by a body of the European Union).

In order to ensure that the members of the Board have the possibility to make informed analysis on the basis of factual evidence, it is foreseen that the Board should be supported by the administrative structure of the Commission and that an expert group be created to provide additional expertise where required.

For the meeting expenditure, given the low value per transaction (e.g. refunding travel costs for a delegate for a meeting), standard control procedures seem sufficient. Regarding the development of the database, contract attribution has a strong internal control system in place in DG CNECT through centralised procurement activities.

Specify existing or envisaged prevention and protection measures, e.g. from the Anti-Fraud Strategy.

The existing fraud prevention measures applicable to the Commission will cover the additional appropriations necessary for this Regulation.

In order of multiannual financial framework headings and budget lines.

EUR million (to three decimal places)

If more than one heading is affected by the proposal / initiative, repeat the section above:

This section should be filled in using the 'budget data of an administrative nature' to be firstly introduced in the Annex to the Legislative Financial Statement (Annex V to the internal rules), which is uploaded to DECIDE for interservice consultation purposes.

EUR million (to three decimal places)

EUR million (to three decimal places)

Commitment appropriations in EUR million (to three decimal places)

EUR million (to three decimal places)

The appropriations required for human resources and other expenditure of an administrative nature will be met by appropriations from the DG that are already assigned to management of the action and/or have been redeployed within the DG, together if necessary with any additional allocation which may be granted to the managing DG under the annual allocation procedure and in the light of budgetary constraints.

Estimate to be expressed in full time equivalent units

XX is the policy area or budget title concerned.

The human resources required will be met by staff from the DG who are already assigned to management of the action and/or have been redeployed within the DG, together if necessary with any additional allocation which may be granted to the managing DG under the annual allocation procedure and in the light of budgetary constraints.

EDPS is expected to provide half of the resources required.

Description of tasks to be carried out:

The proposal/initiative:

No reporgramming is needed.

Explain what is required, specifying the headings and budget lines concerned, the corresponding amounts, and the instruments proposed to be used.

Explain what is required, specifying the headings and budget lines concerned and the corresponding amounts.

The proposal/initiative:

Appropriations in EUR million (to three decimal places)

EUR million (to three decimal places)

For assigned revenue, specify the budget expenditure line(s) affected.

Other remarks (e.g. method/formula used for calculating the impact on revenue or any other information).

# data[].attributes.attachment_link.description
Brussels, 21.4.2021 COM(2021) 206 final 2021/0106(COD) Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS {SEC(2021) 167 final} - {SWD(2021) 84 final} - {SWD(2021) 85 final} EXPLANATORY MEMORANDUM This explanatory memorandum accompanies the proposal for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act).

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101 creative ideas to use AI in education

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101 creative ideas to use AI in education

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This open crowdsourced collection by #creativeHE presents a rich tapestry of our collective thinking in the first months of 2023 stitching together potential alternative uses and applications of Artificial Intelligence (AI) that could make a difference and create new learning, development, teaching and assessment opportunities.

Experimentation is at the heart of learning, teaching and scholarship. Being open to diverse ideas will help us make novel connections that can lead to new discoveries and insights to make a positive contribution to our world. Ideas shared may be in its embryonic stage, but worth exploring further through active and creative inquiry.

We would like to illuminate the importance of responsible, critical and ethical use of AI in education settings and more generally.

We are grateful for all 101 contributions from 19 countries: Australia, Canada, China, Egypt, Germany, Greece, India, Israel, Italy, Ireland, Jordan, Liberia, Mexico, South Africa, Spain, Thailand, Turkey, United Kingdom and the US.

A special thank you to Bushra Hashim for the beautiful design.

Suggested citation: Nerantzi, C., Abegglen, S., Karatsiori, M. and Martinez-Arboleda, A. (Eds.) (2023). 101 Creative ideas to use AI in education. A collection curated by #creativeHE. Graphic Design by Bushra Hashim. CC-BY-NC-SA 4.0.

As the collection is made available under the Creative Commons License CC-BY-NC-SA license, anybody can use the collection as open data to further interrogate the use of AI in Education. Please share any resulting outcomes with the editorial team and the wider community.

The editors

"This collection represents vision; it embodies creativity. The importance of perspective and community of practice comes to life here in the breadth of examples demonstrating creative ideas to use AI in education. As we explore how we design new experiences for our learners and differentiate opportunities to engage in new ways, we have an opportunity to push our own boundaries and explore. We can collaborate, radically. This is a collection that will only grow as we shift our own practice and as we allow ourselves to experiment and iterate for a transformational student experience." Dr Margaret Korosec, Dean of Online and Digital Education, University of Leeds.

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101 creative ideas to use AI in education, A crowdsourced collection

# data[].attributes.attachment_link.description
This open crowdsourced collection by #creativeHE presents a rich tapestry of our collective thinking in the first months of 2023 stitching together potential alternative uses and applications of Artificial Intelligence (AI) that could make a difference and create new learning, development, teaching and assessment opportunities. Experimentation is at the heart of learning, teaching and scholarship.

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Orientamenti etici per gli educatori sull’uso dell’intelligenza artificiale (IA) e dei dati nell’insegnamento e nell’apprendimento

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Orientamenti etici per gli educatori sull’uso dell’intelligenza artificiale (IA) e dei dati nell’insegnamento e nell’apprendimento

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Direzione generale dell'Istruzione, della gioventù, dello sport e della cultura

# data[].attributes.attachment_link.title
Orientamenti etici per gli educatori sull'uso dell'intelligenza artificiale (IA) e dei dati nell'insegnamento e nell'apprendimento.

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I presenti orientamenti etici sull'utilizzo dell'IA e dei dati nell'insegnamento e nell'apprendimento sono concepiti per aiutare gli educatori a comprendere il potenziale delle applicazioni di IA e dell'utilizzo dei dati per l'istruzione, e per sensibilizzarli in merito ai possibili rischi.

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Manifesto dell'Intelligenza Artificiale Generativa a scuola

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Manifesto dell'Intelligenza Artificiale Generativa a scuola

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MIAS - Manifesto dell'Intelligenza Artificiale Generativa a Scuola -

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Consulta e Scarica il Manifesto - MIAS - Manifesto dell’Intelligenza Artificiale Generativa a Scuola

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Listen to PENSIERO STUPENDO di Barbasophia on Spotify. Per alcuni, la filosofia è una bestia nera, incomprensibile se non inutile, per altri una fonte di ispirazione o di aforismi acchiappalike. Per il Prof.

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Vuoi imparare la scienza in modo divertente? Ti piacerebbe mettere alla prova le tue conoscenze di matematica, fisica, chimica e scienze naturali? In questa scheda troverai alcuni siti per fare simulazioni di esperimenti on line e mettere alla prova la tua cultura scientifica, attraverso giochi e videogiochi.

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I podcast didattici di Sanoma Italia | Scuola primaria e secondaria

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Per portare il format di successo dei podcast nel mondo della scuola, adattandolo alle esigenze di studenti e insegnanti, per tutte le materie.