# data[].attributes.body
Er is veel gepubliceerd over de slechte invloed van AI op ons leervermogen. Bijna alle publicaties gebruiken deze bron. Maar wat staat er nu eindelijk echt?

# data[].attributes.attachment_link.title
Is cognitive offloading dankzij AI altijd schadelijk voor leren? – WilfredRubens.com over leren en I

# data[].attributes.attachment_link.readable_text
In this article we provide you with a high-level summary of the AI Act, selecting the parts which are most likely to be relevant to you regardless of who you are. We provide links to the original document where relevant so that you can always reference the Act text.
To explore the full text of the AI Act yourself, use our AI Act Explorer. Alternatively, if you want to know which parts of the text are most relevant to you, use our Compliance Checker.
Four-point summary
The AI Act classifies AI according to its risk:

Unacceptable risk is prohibited (e.g. social scoring systems and manipulative AI).

Most of the text addresses high-risk AI systems, which are regulated.

A smaller section handles limited risk AI systems, subject to lighter transparency obligations: developers and deployers must ensure that end-users are aware that they are interacting with AI (chatbots and deepfakes).

Minimal risk is unregulated (including the majority of AI applications currently available on the EU single market, such as AI enabled video games and spam filters - at least in 2021; this is changing with generative AI).

The majority of obligations fall on providers (developers) of high-risk AI systems.

Those that intend to place on the market or put into service high-risk AI systems in the EU, regardless of whether they are based in the EU or a third country.

And also third country providers where the high risk AI system's output is used in the EU.

Users are natural or legal persons that deploy an AI system in a professional capacity, not affected end-users.

Users (deployers) of high-risk AI systems have some obligations, though less than providers (developers).

This applies to users located in the EU, and third country users where the AI system's output is used in the EU.

General purpose AI (GPAI):

All GPAI model providers must provide technical documentation, instructions for use, comply with the Copyright Directive, and publish a summary about the content used for training.

Free and open licence GPAI model providers only need to comply with copyright and publish the training data summary, unless they present a systemic risk.

All providers of GPAI models that present a systemic risk - open or closed - must also conduct model evaluations, adversarial testing, track and report serious incidents and ensure cybersecurity protections.

The following types of AI system are 'Prohibited' according to the AI Act.

AI systems:

deploying subliminal, manipulative, or deceptive techniques to distort behaviour and impair informed decision-making, causing significant harm.

exploiting vulnerabilities related to age, disability, or socio-economic circumstances to distort behaviour, causing significant harm.

biometric categorisation systems inferring sensitive attributes (race, political opinions, trade union membership, religious or philosophical beliefs, sex life, or sexual orientation), except labelling or filtering of lawfully acquired biometric datasets or when law enforcement categorises biometric data.

social scoring, i.e., evaluating or classifying individuals or groups based on social behaviour or personal traits, causing detrimental or unfavourable treatment of those people.

assessing the risk of an individual committing criminal offenses solely based on profiling or personality traits, except when used to augment human assessments based on objective, verifiable facts directly linked to criminal activity.

compiling facial recognition databases by untargeted scraping of facial images from the internet or CCTV footage.

inferring emotions in workplaces or educational institutions, except for medical or safety reasons.

'real-time' remote biometric identification (RBI) in publicly accessible spaces for law enforcement, except when:

searching for missing persons, abduction victims, and people who have been human trafficked or sexually exploited;

preventing substantial and imminent threat to life, or foreseeable terrorist attack; or

identifying suspects in serious crimes (e.g., murder, rape, armed robbery, narcotic and illegal weapons trafficking, organised crime, and environmental crime, etc.).

Notes on remote biometric identification:
Using AI-enabled real-time RBI is only allowed when not using the tool would cause considerable harm and must account for affected persons' rights and freedoms.

Before deployment, police must complete a fundamental rights impact assessment and register the system in the EU database, though, in duly justified cases of urgency, deployment can commence without registration, provided that it is registered later without undue delay.

The AI Office is hiring

The European Commission is recruiting contract agents who are AI technology specialists to govern the most cutting-edge AI models. See here for an overview of the roles and activities of the AI Office.

We are sharing this opportunity because we believe that the AI Office will be a key actor in governing AI technologies in the near future. Bringing high-quality talent to this role is essential for effectively regulating AI technology in the EU and for inspiring similar regulation around the world.
Deadline to apply is 12:00 CET on 27 March View the role
High risk AI systems (Title III)

Some AI systems are considered 'High risk' under the AI Act. Providers of those systems will be subject to additional requirements.

Classification rules for high-risk AI systems (Art. 6)

High risk AI systems are those:

used as a safety component or a product covered by EU laws in Annex II AND required to undergo a third-party conformity assessment under those Annex II laws; OR

those under Annex III use cases (below), except if:

the AI system performs a narrow procedural task;

improves the result of a previously completed human activity;

detects decision-making patterns or deviations from prior decision-making patterns and is not meant to replace or influence the previously completed human assessment without proper human review; or

performs a preparatory task to an assessment relevant for the purpose of the use cases listed in Annex III.

AI systems are always considered high-risk if it profiles individuals, i.e. automated processing of personal
data to assess various aspects of a person's life, such as work performance, economic situation, health,
preferences, interests, reliability, behaviour, location or movement.

Providers that believe their AI system, which fails under Annex III, is not high-risk, must document such an
assessment before placing it on the market or putting it into service.

Requirements for providers of high-risk AI systems (Art. 8-25)

High risk AI providers must:

Establish a risk management system throughout the high risk AI system's lifecycle;

Conduct data governance, ensuring that training, validation and testing datasets are relevant, sufficiently representative and, to the best extent possible, free of errors and complete according to the intended purpose.

Draw up technical documentation to demonstrate compliance and provide authorities with the information to assess that compliance.

Design their high risk AI system for record-keeping to enable it to automatically record events relevant for identifying national level risks and substantial modifications throughout the system's lifecycle.

Provide instructions for use to downstream deployers to enable the latter's compliance.

Design their high risk AI system to allow deployers to implement human oversight.

Design their high risk AI system to achieve appropriate levels of accuracy, robustness, and cybersecurity.

Establish a quality management system to ensure compliance.

Non-banned biometrics: Remote biometric identification systems, excluding biometric verification that confirm a person is who they claim to be. Biometric categorisation systems inferring sensitive or protected attributes or characteristics. Emotion recognition systems.

Critical infrastructure: Safety components in the management and operation of critical digital infrastructure, road traffic and the supply of water, gas, heating and electricity.

Education and vocational training: AI systems determining access, admission or assignment to educational and vocational training institutions at all levels. Evaluating learning outcomes, including those used to steer the student's learning process. Assessing the appropriate level of education for an individual. Monitoring and detecting prohibited student behaviour during tests.

Employment, workers management and access to self-employment: AI systems used for recruitment or selection, particularly targeted job ads, analysing and filtering applications, and evaluating candidates. Promotion and termination of contracts, allocating tasks based on personality traits or characteristics and behaviour, and monitoring and evaluating performance.

Access to and enjoyment of essential public and private services: AI systems used by public authorities for assessing eligibility to benefits and services, including their allocation, reduction, revocation, or recovery. Evaluating creditworthiness, except when detecting financial fraud. Evaluating and classifying emergency calls, including dispatch prioritising of police, firefighters, medical aid and urgent patient triage services. Risk assessments and pricing in health and life insurance.

Law enforcement: AI systems used to assess an individual's risk of becoming a crime victim. Polygraphs. Evaluating evidence reliability during criminal investigations or prosecutions. Assessing an individual's risk of offending or re-offending not solely based on profiling or assessing personality traits or past criminal behaviour. Profiling during criminal detections, investigations or prosecutions.

Migration, asylum and border control management: Polygraphs. Assessments of irregular migration or health risks. Examination of applications for asylum, visa and residence permits, and associated complaints related to eligibility. Detecting, recognising or identifying individuals, except verifying travel documents.

Administration of justice and democratic processes: AI systems used in researching and interpreting facts and applying the law to concrete facts or used in alternative dispute resolution. Influencing elections and referenda outcomes or voting behaviour, excluding outputs that do not directly interact with people, like tools used to organise, optimise and structure political campaigns.

General purpose AI (GPAI)

GPAI model means an AI model, including when trained with a large amount of data using self-supervision at scale, that displays significant generality and is capable to competently perform a wide range of distinct tasks regardless of the way the model is placed on the market and that can be integrated into a variety of downstream systems or applications. This does not cover AI models that are used before release on the market for research, development and prototyping activities.

GPAI system means an AI system which is based on a general purpose AI model, that has the capability to serve a variety of purposes, both for direct use as well as for integration in other AI systems.

GPAI systems may be used as high risk AI systems or integrated into them. GPAI system providers should cooperate with such high risk AI system providers to enable the latter's compliance.
All providers of GPAI models must:

Draw up technical documentation, including training and testing process and evaluation results.

Draw up information and documentation to supply to downstream providers that intend to integrate the GPAI model into their own AI system in order that the latter understands capabilities and limitations and is enabled to comply.

Establish a policy to respect the Copyright Directive.

Publish a sufficiently detailed summary about the content used for training the GPAI model.

Free and open licence GPAI models - whose parameters, including weights, model architecture and model usage are publicly available, allowing for access, usage, modification and distribution of the model - only have to comply with the latter two obligations above, unless the free and open licence GPAI model is systemic.

GPAI models present systemic risks when the cumulative amount of compute used for its training is greater than 10²⁵ floating point operations (FLOPs). Providers must notify the Commission if their model meets this criterion within 2 weeks. The provider may present arguments that, despite meeting the criteria, their model does not present systemic risks. The Commission may decide on its own, or via a qualified alert from the scientific panel of independent experts, that a model has high impact capabilities, rendering it systemic.

In addition to the four obligations above, providers of GPAI models with systemic risk must also:

Perform model evaluations, including conducting and documenting adversarial testing to identify and mitigate systemic risk.

Assess and mitigate possible systemic risks, including their sources.

Track, document and report serious incidents and possible corrective measures to the AI Office and relevant national competent authorities without undue delay.

Ensure an adequate level of cybersecurity protection.

All GPAI model providers may demonstrate compliance with their obligations if they voluntarily adhere to a code of practice until European harmonised standards are published, compliance with which will lead to a presumption of conformity. Providers that don't adhere to codes of practice must demonstrate alternative adequate means of compliance for Commission approval.
Codes of practice

Will account for international approaches.

Will cover but not necessarily limited to the above obligations, particularly the relevant information to include in technical documentation for authorities and downstream providers, identification of the type and nature of systemic risks and their sources, and the modalities of risk management accounting for specific challenges in addressing risks due to the way they may emerge and materialise throughout the value chain.

AI Office may invite GPAI model providers, relevant national competent authorities to participate in drawing up the codes, while civil society, industry, academia, downstream providers and independent experts may support the process.

Governance

How will the AI Act be implemented?

The AI Office will be established, sitting within the Commission, to monitor the effective implementation and compliance of GPAI model providers.

Downstream providers can lodge a complaint regarding the upstream providers infringement to the AI Office.

The AI Office may conduct evaluations of the GPAI model to:

assess compliance where the information gathered under its powers to request information is insufficient.

Investigate systemic risks, particularly following a qualified report from the scientific panel of independent experts.

Timelines

See this post for an overview of the full implementation timeline.

After entry into force, the AI Act will apply:

6 months for prohibited AI systems.

12 months for GPAI.

24 months for high risk AI systems under Annex III.

36 months for high risk AI systems under Annex II.

Codes of practice must be ready 9 months after entry into force.

# data[].attributes.attachment_link.description
In this article we provide you with a high-level summary of the AI Act, selecting the parts which are most likely to be relevant to you regardless of who you are. We provide links to the original document where relevant so that you can always reference the Act text.

# data[].attributes.body
Veel informatie over het neurodiverse brein. Vanuit de kwaliteiten bijv. conceptueel denken

# data[].attributes.attachment_link.readable_text
Onze favorieten

Onze favoriete boeken over het conceptuele denken zie je hieronder. Een meer volledige literatuurlijst kun jedownloaden.

Over conceptueel denken, neurodiversiteit en de hersenen:

Diagnosedrift. Hoe onze labelcultuur kinderen tekortdoet. Sanne Bloemink. Uitg.: AUP, 2018. ISBN: 978-94-6298-6138

(met DVD's). Elly de, Wildt-Dienske. Uitg.: Centrum voor LeerGym 2011. Fit en slim met LeerGym. Theorieboek en Oefenboek(www.BrainGym.nl)

Een compleet nieuw brein. Waarom de rechterhelft van ons brein ons succesvoller maakt. Daniel Pink. Uitg.: Business Contact, 2009. ISBN: 978-90-470-0223-9

Gebruik je hersenen. Werk slimmer, win tijd. Jan-Willem van den Brandhof. Uitg.: SDU, 2007. ISBN: 978-90-52616148

Het sturende brein. Onze hersenen in een complexe wereld. Elkhonon Goldberg. Uitg.: Wereldbibliotheek bv, 2010. ISBN: 9-789028-423565

Het endorfine herstelplan. Integrale epigenetica in de praktijk. Lucas Flamend. Uitg.: BrainQ Publishing, 2018. ISBN: 9789082922103. Een belangrijk boek over het effect van voeding op stress, burn-out, depressies, overgewicht, AD(H)D en autisme.

Neurodiversity. Discovering The Extraordinary Gifts Of Autism, Adhd, Dyslexia, And Other Brain Differences. Thomas Armstrong. Uitg.: The Perseus Books Group, 2011.

Smart Moves. Why learning is not all in your head. Carla Hannaford. Uitg.: Great River Books, 2005. ISBN: 978-0-915556-37-3-51895

Over dyslexie:

Dyslexie: stoornis of intelligentie. Faalangst en prestatiedrang omzetten in succes. Sjan Verhoeven en Gertrudie Boersen. Uitg.: Garant, 2012. ISBN: 978-90-8575-049-9

Slimmer dan je baas. Dyslexie op het werk. Sjan Verhoeven en Jan van Nuland. Uitg.: Garant, 2008. ISBN: 978-90-8575-034-5

This is Dyslexia. The definitive guide to the untapped power of dyslexic thinking and its vital role in our future. Kate Griggs. Uitg. Penguin Books, 2021. ISBN: 1529149266

Dyslexie360. Een totaalplaatje. Roderick I. Nicolson, Nel Hofmeester, Irene Besnard-van Baaren & Kees van den Bos. Uitg.: Gompel & Svacina. ISBN: 978 94 6371 164 7

Studeren met dyslexie. Nel Hofmeester. Uitg.: Garant, 2001. ISBN: 90-44-11-2996

De gave van Dyslexie. Ronald D. Davis. Uitg.: Elmar, 1998. ISBN: 90-389-07451

In the mind's eye. Visual thinkers, gifted people with dyslexia and other learning difficulties, computer images and the ironies of creativity. Thomas G. West. Uitg. Prometheus books, 1997.

Dyslexie als kans. Ontdek de talenten van het dyslectische Brein. Brock L. Eide and Fernette F. Eide. Uitg.: Maven Publishing, 2019.

Leerroutes Dyslexie. Module 1: Ontwikkel je eigen leerstijl. Nel Hofmeester. Uitg.: Garant Uitgevers nv. ISBN: 9789044132038

Leerroutes Dyslexie. Module 2: Dyslexie en studievaardigheid. Nel Hofmeester. Uitg.: Garant Uitgevers nv. ISBN: 9789044132045

Leerroutes Dyslexie. Module 3: Spelling leren met het hele brein. Irene Besnard-van Baaren. Uitg.: Garant Uitgevers nv. ISBN: 9789044132052

Woordblindheid en beelddenken. drs P.C. Ojemann. Uitg: Van Loghum Slaterus, 1987. ISBN: 9036800048. Een klassieker!

Beelddenken en woordblindheid. Maria J.Krabbe. Uitg.: Brusse's Uitgeversmij & Van Loghum Slaterus, 1951. ISBN: ? Maria Krabbe is één van de eersten of misschien wel de ALLEReerste die het beelddenken bij dyslectici beschreven heeft! DE klassieker!

Over ADHD en ADD:

Succes met je ADHD! Gesprekken met (buiten) gewone mensen met ADHD. Remko Iedema en Herman Jansen. Uitg.: Pepijn B.V., 2011. ISBN: 9789078709114

De Epigenetica van ADHD & Glutamaat. Lucas Flamend. Uitg.: BrainQ, 2019. ISBN: 9789082922110

ADHD: Macht en misverstanden. Laura Batstra. Uitg.: Lucht BV, 2017. ISBN: 9789492798015

Je bent er een of je kent er een. Reis Door Het Landschap Van Adhd Bij Volwassenen. Remko Iedema. Uitg.: Uitgeverij Pepijn B.V., 1999. ISBN: 9789080757400

Hulpginds ADHD voor volwassenen. John Ratey. Uitg.: Nieuwzijds, 2005. ISBN: 9789057122118

Opvoedwijzer ADD & ADHD. Tips en strategieën voor ouders van kinderen met aandachtsproblemen. Edward Hallowell & Peter Jensen. Uitg.: Hogrefe, 2009. ISBN 9-789079-729111

Slim maar vastgelopen. Emoties bij tieners en volwassenen met ADHD. Thomas E. Brown. Uitg.: Pearson Benelus B.V., 2015. ISBN 9-789026-522765

Over hoogbegaafdheid:

Hoogbegaafd. Als je kind (g)een Einstein is. Tessa Kieboom. Uitg. Lannoo nv, 2015. ISBN: 9789401406901

Ik en hoogbegaafdheid. Inzicht in jezelf. Nathalie van Kordelaar. Uitg. Nino, 2015. ISBN: 9789085605980.

Hoogbegaafd, nou en? Ontdek-boek over hoogbegaafdheid. Wendy Lammers van Toorenburg. Uitg. Samsara Uitgeverij b.v., 2009. ISBN: 9789077228319

​ Mijn vader lijkt op Barbapapa. Portretten van nieuwetijdskinderen. Hermelijn van der Meijden en Erik Buis. Uitg. Servire, 2011. ISBN 9789021549880

Over hooggevoeligheid:

De gids over hoogsensitieve pubers. 80 praktische tips. Auteur: Renske Gerritse. Uitg.: Scrivo Media, 2019. EAN: 9789491687624

Het hooggevoelige kind met een sterke wil. Janneke van Olphen. Uitg.: Scrivo Media, 2017. EAN: 9789491687440

Leven met hooggevoeligheid. Van opgave naar gave. Susan Marletta-Hart. Uitgeverij Ten Have, 2003. ISBN: 9789025904708

Over autisme:

Mindfulness bij volwassenen met autisme. Een wegwijzer voor hulpverleners en mensen met ASS. Annelies Spek. Uitg.: Hogrefe, 2010. ISBN 9789079729333

Op een blauwe dag geboren. Een geschiedenis - Indrukken van een autistische jongen met een bijzonder brein. Daniel Tammet. Uit.: Nieuwezijds, 2008. ISBN: 9789057122552

Autistisch gelukkig. Positief leven met autisme. Sam Peters. Uit.: Cyclus, 2018. ISBN 9789085750703

Over leren, lezen en studeren:

Focus Aan/Uit. Dicht de 4 concentratielekken en krijg meer gedaan in een wereld vol afleiding. Mark Tigchelaar, Oscar de Bos. UItg.: Spectrum, 2019. ISBN: 978-90-00-35969-1

Snellezen. Revolutionair handboek. Tests en praktische voorbeelden. Verhoog uw leessnelheid tot meer dan duizend woorden per minuut. Tony Buzan. Uitg.Tirion Uitgevers b.v., 2008. ISBN: 978-90-4390-535-0

Mindmappen. Voor een beter geheugen en creatiever denken. Tony & Barry Buzan. Uitg.: FT Prentice Hall, 2007. ISBN: 978-90-430-1472-4

Download hier de volledige literatuurlijst

# data[].attributes.attachment_caption
Hier staan veel verwijzende links. Waarom komt de generatie van na Covid niet graag naar bijeenkomsten. Ze leren anders, staan anders in relaties en verbinding. 

# data[].attributes.headline
Trimbos Instituut en Hogeschool Windesheim

# data[].attributes.subject
Trimbos Instituut en Hogeschool Windesheim

# data[].attributes.attachment_link.readable_text
The May issue of AI Practitioner, The International Journal of Appreciative Inquiry, is out. It is an 'open issue' and it reflects how our field of practice and theory is continuously growing and bringing forth new stories.

The goal of AI Practitioner has always been and will continue to be to support and reflect the diversity of voices in the AI community: thought-leaders, experienced authors, young authors, new authors and students, those whose first language is not English and, increasingly, those who want and need to have AI resources in their own language, as well as those who are more comfortable in the new range of media that did not exist when AI Practitioner began.

A year ago, the co-publishers experimented with a new approach: what if, instead of setting a topic for an issue we just asked contributors to write about whatever was currently pressing for them, what interested them the most right now? We had a good response, so we decided to do so again. This year we had even more responses from those who've written for AIP before, and from quite a few who haven't. The range in includes an article on the evolution of Appreciative Coaching, a poem, an article on how untranslatable words can provide thoughtful encounters for practitioners, what appreciative AI online teaching looks like, how AI has been used to support small businesses in Vermont in the US du ring the Covid-19 pandemic, how AI can be combined with action learning, using AI in the prison system for whole-system communication...the list is as creative as our contributors.
Preview AI Practitioner The Open Issue (pdf)

# data[].attributes.body
Een bedrijf dat zich richt op de jonge generatie op de werkvloer: The Young Workforce. Geertje Peneder is hier eigenaar van en recent las ik dit artikel waarin zij ook geciteerd werd. Het is best leuk om haar te volgen op LinkedIn, daar komt nog weleens eea voorbij. En voor haar bedrijf: https://theyoungworkforce.nl/

# data[].attributes.attachment_link.readable_text
Werk & geld *

Een hele werkweek op kantoor; veel startende werknemers kennen het fenomeen niet, want ze werken ook thuis. Ontwikkelen ze zich daardoor anders? 'Het vraagt vooral veel van de manager.'

# data[].attributes.attachment_link.title
De nieuwe werknemer wil vrijheid, maar ook structuur

# data[].attributes.attachment_link.description
Een hele werkweek op kantoor; veel startende werknemers kennen het fenomeen niet, want ze werken ook thuis. Ontwikkelen ze zich daardoor anders? 'Het vraagt vooral veel van de manager.'

# data[].attributes.body
Wat er gebeurt met een brein in crisis

# data[].attributes.attachment_link.title
Austin's Butterfly: Models, Critique, and Descriptive Feedback

# data[].attributes.body
Net als de breinwasstraat is dit een scan voor leidinggevenden om een analyse te doen over hun inzet van breinkennis

# data[].attributes.attachment_link.title
Invloed van positiviteit | Het beste brein van Nederland

# data[].attributes.attachment_link.title
Brainsnack: Complimenten maken meer kapot dan je lief is.. oftewel: geef het juiste compliment