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ChatGPT, Midjourney : pourquoi les experts de l'IA appellent à ralentir

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ChatGPT, Midjourney : pourquoi les experts de l'IA appellent à ralentir

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""Les systèmes d'IA dotés d'une intelligence capable de concurrencer celle de l'homme posent de graves risques pour la société", indique une lettre ouverte publiée la semaine dernière par plus de 1000 signataires, parmi lesquels Elon Musk. L’IA est-elle véritablement un danger pour l’humanité ?

Pour en parler, Guillaume Erner reçoit :
- Chloé Clavel, professeure associée en informatique affective à Telecom ParisTech
- Gilles Babinet, entrepreneur, vice-président du conseil du numérique et conseiller de l'Institut Montaigne sur les questions numériques"

04/2023

https://youtu.be/XiL1dgsYN5g (France Culture)

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ChatGPT, Midjourney : pourquoi les experts de l'IA appellent à ralentir

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Society of Authors - AI guidance for authors

# data[].attributes.subject
Society of Authors - AI guidance for authors

# data[].attributes.body
8th June 2023

By: Lauren Brown, The Bookseller

https://www.thebookseller.com/news/soa-urges-vigilance-in-new-ai-guidance-for-authors?utm_source=newsletter&utm_medium=email&utm_campaign=Morning%20Briefing

Full guidance: https://www2.societyofauthors.org/2023/06/07/artificial-intelligence-practical-steps-for-members/

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SoA urges vigilance in new AI guidance for authors

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The Society of Authors (SoA) has published guidance for authors on how they can protect themselves and their work from “the impact of new technologies”, as it says the emergence of Artificial Intelligence (AI) systems is “already having a direct impact on SoA members”.

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“What’s happening in AI right now, and what does it mean for Education?”

# data[].attributes.subject
“What’s happening in AI right now, and what does it mean for Education?”

# data[].attributes.body
“What's happening in AI right now, and what does it mean for education?"
Another Youtube clip [t]o watch and listen rather than just listen. It is good to hear what teachers are talking about regards to AI”
E. Hutchinson email newsletter, “learn something”, 21/05/2023

By: Peps McCrea, DoE advisor and former Head of Maths

interviewed by Craig Barton, former Maths teacher, speaker and teacher trainer, in Mr Barton Maths podcast (14/04/2023).

Playing around with ChatGPT and Midjourney might be a good start! It might be interesting to use them for planning, and to experiment the sort of sophisticated/precise prompts to use with them to ask questions and generate a helpful ai response.

https://tipsforteachers.co.uk/role-of-ai/

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View all of Peps McCrea's videos in this playlist:

You can listen to the full audio of our conversation on my Mr Barton Maths podcast here

If you haven't already, please consider:

1. Signing up to my free Tips for Teachers newsletter

2. Becoming a Patreon to support my work

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What's happening in AI right now, and what does it mean for education? - Tips for teachers

# data[].attributes.attachment_link.description
View all of Peps McCrea's videos in this playlist: You can listen to the full audio of our conversation on my Mr Barton Maths podcast here If you haven't already, please consider: Signing up to my free Tips for Teachers newsletter Becoming a Patreon to support my work

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No Panic Chat GPT and AI Guide for teachers

# data[].attributes.subject
No Panic Chat GPT and AI Guide for teachers

# data[].attributes.body
“Does AI seem a little frightening to you. Have you tried to ignore it so far? Check out this very quick and reassuring presentation from Alli McCrary No Panic ChatGPT and AI Guide for teachers. It is not just School Librarians who are needing to learn about this new technology.”
E. Hutchinson newsletter, “learn something”, 30/04/2023

By: Alli McCrary, Digital Learning Teacher at Kennedy Middle School, Waltham, Massachusetts, United States

https://www.canva.com/design/DAFeIysqGBY/aNB-K0xPwkN0oJ0HCdjeeg/view?utm_content=DAFeIysqGBY&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink&fbclid=IwAR2R6J7b9GTCVMpnyTP8r59XpO0rALOPn0io8ul2rsgW7kooF3iibD6qGyg#1

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"The sixth edition of the international AI conference, SophI.A Summit, will take place from 22-24 November at Sophia Antipolis Technology Park on the French Riviera, to reveal the latest advances in the field of artificial intelligence and its applications.

This event brings together global AI experts, in biology, health, mobility and smart applications, covering both core technology and its applications who will present their work through meetings, debates, round tables and posters.

The SophI.A Summit gathers the best AI specialists in the world. During 3 days, we want to offer researchers working at the cutting edge of AI the opportunity to consolidate their technical knowledge and meet recognized experts. Together, we need to articulate a vision on how to create sustainable, economically and socially controllable AI."

Organiser: Université Côte d'Azur

https://univ-cotedazur.eu/events/sophia-summit

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Go to content
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# data[].attributes.attachment_link.description
Go to content Go to content Navigation Direct access Intranet/ENT https://univ-cotedazur.eu/events/sophia-summit Cookies de personnalisation When browsing Université Côte d'Azur website and Université Côte d'Azur components websites by profile ("I am" menu), informations may be saved in a "Cookie" file installed by Université Côte d'Azur on your computer, tablet or mobile phone.This Cookie file contains informations, such as a unique identifier, the name of the portal, and the chosen profile.

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ChatGPT : première interview radio de l'intelligence artificielle - L'invité de Sonia Devillers

# data[].attributes.subject
ChatGPT : première interview radio de l'intelligence artificielle - L'invité de Sonia Devillers

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"Nous avons posé quelques questions à ChatGPT, l’intelligence artificielle capable de tenir une conversation. Pour nous éclairer, David Chavalarias, directeur de recherche au CNRS et auteur de « Toxic Data » (Flammarion)".

18/01/2023

[chatGPT3, ndlr]

https://youtu.be/rV9_F2gsdhk (France inter)

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ChatGPT : première interview radio de l'intelligence artificielle - L'invité de Sonia Devillers

# data[].attributes.body
Tutorials on:
Bing AI
ChatGPT
Google Bard AI
Jasper
Midjourney AI
Notion AI

https://openaimaster.com/category/how-to/

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Exploring the Future of Artificial Intelligence

# data[].attributes.headline
AA et IA | MOOC et autres, Université de Laval

# data[].attributes.subject
AA et IA | MOOC et autres, Université de Laval

# data[].attributes.body
https://iid.ulaval.ca/services/#liste

MOOC AA
https://iid.ulaval.ca/formations/apprivoiser-lapprentissage-automatique/

IA en ligne
https://iid.ulaval.ca/formations/parcours-de-formation-en-apprentissage-automatique-et-intelligence-artificielle-des-fondements-a-la-pratique-avancee/

# data[].attributes.attachment_link.readable_text
Pourquoi suivre ce MOOC en Apprentissage automatique?

L'apprentissage automatique (AA) fera son arrivée prochainement dans votre organisation et vous souhaitez être prêt.

Vous l'utilisez depuis un moment déjà et vous souhaitez vous tenir à jour.

Vous pensez à une réorientation de carrière et vous voulez tester votre intérêt.

Vous envisagez de mener votre entreprise vers l'adoption de l'intelligence artificielle (IA).

On vous a proposé de créer un groupe ou projet en IA et vous aimeriez en apprendre assez sur le sujet pour gérer celui-ci et recruter du personnel qualifié.

Vous avez tout simplement un intérêt pour l'AA et l'IA et souhaitez en apprendre davantage.

Vous serez initié à toutes les étapes à effectuer lors d'un projet en AA. Vous voulez prédire la pression à l'intérieur d'une turbine en fonction des données de multiples senseurs? C'est de la régression! Vous voulez prédire si un patient est atteint ou non de diabète en fonction des résultats d'un examen médical? C'est de la classification! Vous voulez regrouper les clients en différents segments? C'est du regroupement de données! Il y a de nombreuses applications dans une multitude de domaines.

Pour bien appliquer l'AA dans un projet, il faut d'abord comprendre l'importance des données, comment les nettoyer afin de les mettre en valeur, puis quelle méthode en AA permettrait d'extraire la bonne information.

Le cours est divisé en sept modules que vous pourrez suivre à votre rythme. Vous pourrez tester votre compréhension avec de la rétroaction au moyen d'un questionnaire dans chaque module.

Ce MOOC résulte d'une collaboration entre l' Institut de valorisation des données (IVADO) de l'Université de Montréal, l' Institut intelligence et données (IID) de l'Université Laval, à Québec, et Mila - Institut québécois d'intelligence artificielle.

Le contenu a été développé par des professeurs, scientifiques des données, des informaticiens et ingénieurs ayant de l'expérience en R et D académique et industrielle.

# data[].attributes.attachment_link.title
Apprivoiser l'apprentissage automatique - Institut intelligence et données (IID)

# data[].attributes.attachment_link.description
L'apprentissage automatique (AA) fera son arrivée prochainement dans votre organisation et vous souhaitez être prêt. Vous l'utilisez depuis un moment déjà et vous souhaitez vous tenir à jour. Vous pensez à une réorientation de carrière et vous voulez tester votre intérêt. Vous envisagez de mener votre entreprise vers l'adoption de l'intelligence artificielle (IA).

# data[].attributes.headline
IID (Institut Intelligence et données), Université de Laval

# data[].attributes.subject
IID (Institut Intelligence et données), Université de Laval

# data[].attributes.body
https://iid.ulaval.ca

# data[].attributes.attachment_link.readable_text
Pourquoi suivre ce MOOC en Apprentissage automatique?

L'apprentissage automatique (AA) fera son arrivée prochainement dans votre organisation et vous souhaitez être prêt.

Vous l'utilisez depuis un moment déjà et vous souhaitez vous tenir à jour.

Vous pensez à une réorientation de carrière et vous voulez tester votre intérêt.

Vous envisagez de mener votre entreprise vers l'adoption de l'intelligence artificielle (IA).

On vous a proposé de créer un groupe ou projet en IA et vous aimeriez en apprendre assez sur le sujet pour gérer celui-ci et recruter du personnel qualifié.

Vous avez tout simplement un intérêt pour l'AA et l'IA et souhaitez en apprendre davantage.

Vous serez initié à toutes les étapes à effectuer lors d'un projet en AA. Vous voulez prédire la pression à l'intérieur d'une turbine en fonction des données de multiples senseurs? C'est de la régression! Vous voulez prédire si un patient est atteint ou non de diabète en fonction des résultats d'un examen médical? C'est de la classification! Vous voulez regrouper les clients en différents segments? C'est du regroupement de données! Il y a de nombreuses applications dans une multitude de domaines.

Pour bien appliquer l'AA dans un projet, il faut d'abord comprendre l'importance des données, comment les nettoyer afin de les mettre en valeur, puis quelle méthode en AA permettrait d'extraire la bonne information.

Le cours est divisé en sept modules que vous pourrez suivre à votre rythme. Vous pourrez tester votre compréhension avec de la rétroaction au moyen d'un questionnaire dans chaque module.

Ce MOOC résulte d'une collaboration entre l' Institut de valorisation des données (IVADO) de l'Université de Montréal, l' Institut intelligence et données (IID) de l'Université Laval, à Québec, et Mila - Institut québécois d'intelligence artificielle.

Le contenu a été développé par des professeurs, scientifiques des données, des informaticiens et ingénieurs ayant de l'expérience en R et D académique et industrielle.

# data[].attributes.attachment_link.title
Apprivoiser l'apprentissage automatique - Institut intelligence et données (IID)

# data[].attributes.attachment_link.description
L'apprentissage automatique (AA) fera son arrivée prochainement dans votre organisation et vous souhaitez être prêt. Vous l'utilisez depuis un moment déjà et vous souhaitez vous tenir à jour. Vous pensez à une réorientation de carrière et vous voulez tester votre intérêt. Vous envisagez de mener votre entreprise vers l'adoption de l'intelligence artificielle (IA).

# data[].attributes.headline
Mila - Université de Montréal, McGill University, Polytechnique Montréal, HEC Montréal 

# data[].attributes.subject
Mila - Université de Montréal, McGill University, Polytechnique Montréal, HEC Montréal 

# data[].attributes.body
Graduate research programmes

https://mila.quebec/en/research-programs/

# data[].attributes.body
13 courses + an AI research Centre

https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees?query=AI&year

+

https://www.ucl.ac.uk/ai-centre/ucl-centre-artificial-intelligence

+

https://www.ucl.ac.uk/computer-science/news/2023/mar/london-named-best-city-world-study-artificial-intelligence

# data[].attributes.body
Master of Engineering in Computing (Artificial Intelligence and Machine Learning) MEng (Hons)

and

Master of Engineering in Computing (Visual Computing and Robotics) MEng (Hons)

https://www.thecompleteuniversityguide.co.uk/courses/details/computing-meng/54954220

https://www.thecompleteuniversityguide.co.uk/courses/details/computing-meng/54954380

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https://www.sophia-antipolis.fr/ia/

# data[].attributes.attachment_link.title
IA, Intelligence Artificielle - Missions | Sophia-Antipolis

# data[].attributes.attachment_link.description
IA, Intelligence Artificielle - Sophia Antipolis accueille l'un des 4 Instituts Interdisciplinaires d'Intelligence Artificielle (" 3IA ").

# data[].attributes.body
https://institut-europia.eu/acteur/maison-intelligence-artificielle/

# data[].attributes.attachment_link.title
Maison de l'Intelligence Artificielle - Institut EuropIA

# data[].attributes.attachment_link.description
Un lieu unique MAISON DE L'INTELLIGENCE ARTIFICIELLE Un endroit qui a pour vocation de sensibiliser sur les enjeux de l'Intelligence Artificielle tout en favorisant l'innovation dans le domaine. Il s'agit d'un espace d'échange et de coopération entre toutes les parties impliquées, une structure de moyens partagés fédérant l'écosystème IA du territoire.

# data[].attributes.body
"The AI Summit London guides enterprises along their AI journey; from inception to optimisation. We advise senior leaders from across a variety of industries to attend and, for 2022, we have added specific stages to delve further into topics and trends related to finance, healthcare, and retail."
+
"The AI Summit London welcomes both global tech leaders and emerging entrepreneurs who are eager to showcase the results AI can drive. Exhibiting  provides an opportunity for you to network with the best of Europe's tech sector, gain exposure to exclusive content, and share a stage with other other industry experts. Whether you are an established industry leader or a startup looking to make a mark, we can provide a platform for you to connect, learn, and grow."
source https://london.theaisummit.com/ai-summit-london-faqs

https://london.theaisummit.com/

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European Commission AI Watch in Education 

# data[].attributes.subject
European Commission AI Watch in Education 

# data[].attributes.body
https://ai-watch.ec.europa.eu/topics/education_en

# data[].attributes.attachment_link.readable_text
Digital economy is a leading driver of European economy. As digital skills are becoming widely demanded, their prevalence in society needs to be monitored. The recently adopted 2021-2027 Digital Education Action Plan proposes stronger cooperation between Member States for a high-performing digital education ecosystem, and highlights the need to reinforce education in digital competences, from basic to advanced.

Investment in advanced digital skills is crucial to achieve international competitiveness and to reinforce Europe's strategic digital capacities. In fact, the proposed Digital Europe programme acknowledges that artificial intelligence, high performance computing, and cybersecurity are key technologies that need to be further developed and made widely accessible. The Digital Europe programme aims at "increasing Europe's talent pool, bridging the digital divide, fostering greater professionalism taking into account gender balance".

Report

Joint Research Centre

This report provides the analysis of multiple indicators related to the development of artificial intelligence from several perspectives.

Report

Joint Research Centre

This study estimates the supply and demand of university places for studies covering the technological domains of Artificial Intelligence (AI), High Performance Computing (HPC), Cybersecurity (CS) and Data Science (DS), in the EU27, United Kingdom and Norway.

Report

Joint Research Centre

The Academic offer of advanced digital skills report provides the number and characteristics of education programmes on advanced digital skills provided in the EU27 and six additional countries: The United Kingdom, Norway, and Switzerland in Europe, Canada and United States in America, and Australia

Report

Joint Research Centre

This report presents a European view of Artificial Intelligence (AI) based on independent research and analysis by the European Commission Joint
Research Centre.

News article

Teachers and students should be prepared to better understand and engage in the ethical use of AI and data.

The European Commission (EC) and the OECD presented the findings of two reports that analyse national developments in artificial intelligence (AI) policies

Digital economy is a leading driver of European economy. As digital skills are becoming widely demanded, their prevalence in society needs to be monitored. The recently adopted 2021-2027 Digital Education Action Plan proposes stronger cooperation between Member States for a high-performing digital education ecosystem, and highlights the need to reinforce education in digital competences, from basic to advanced.

Investment in advanced digital skills is crucial to achieve international competitiveness and to reinforce Europe's strategic digital capacities. In fact, the proposed Digital Europe programme acknowledges that artificial intelligence, high performance computing, and cybersecurity are key technologies that need to be further developed and made widely accessible. The Digital Europe programme aims at "increasing Europe's talent pool, bridging the digital divide, fostering greater professionalism taking into account gender balance".

In support of policy initiatives to ensure the availability in the EU27 of an adequate education offer of advanced digital skills, AI Watch maps the higher education offer provided in the domains of artificial intelligence, high performance computing, cybersecurity and data science

News article

# data[].attributes.attachment_link.description
Digital economy is a leading driver of European economy. As digital skills are becoming widely demanded, their prevalence in society needs to be monitored. The recently adopted 2021-2027 Digital Education Action Plan proposes stronger cooperation between Member States for a high-performing digital education ecosystem, and highlights the need to reinforce education in digital competences, from basic to advanced.

# data[].attributes.headline
Institute of Artificial Intelligence, de Montfort University, Leicester, UK 

# data[].attributes.subject
Institute of Artificial Intelligence, de Montfort University, Leicester, UK 

# data[].attributes.body
https://www.dmu.ac.uk/research/centres-institutes/iai/index.aspx

# data[].attributes.attachment_link.readable_text
The Institute of Artificial Intelligence (IAI) develops fundamental theoretical and practical solutions to real-world problems using a variety of Artificial Intelligence paradigms.

The IAI offers smart solutions and intelligent techniques to improve and enhance businesses in transportation, smart manufacturing, healthcare, agriculture, media, energy, water, and environment. The IAI has links with the City of Leicester, and industry.

The research institute has a strong track record in AI related research, and especially computational intelligence, data science and its applications to transportation and vision & Game AI. The institute is a world pioneer in fuzzy sets, grey systems, and evolutionary computing.

In the 2014 REF, the IAI contributed to half of the submissions of DMU for Computer Science and Informatics, and the Institute has made again as substancial contribution for REF2021.

# data[].attributes.attachment_link.description
The Institute of Artificial Intelligence (IAI) develops fundamental theoretical and practical solutions to real-world problems using a variety of Artificial Intelligence paradigms. The IAI offers smart solutions and intelligent techniques to improve and enhance businesses in transportation, smart manufacturing, healthcare, agriculture, media, energy, water, and environment.

# data[].attributes.headline
Surrey Institute for people-centred AI, University of Surrey, Guilford, UK

# data[].attributes.subject
Surrey Institute for people-centred AI, University of Surrey, Guilford, UK

# data[].attributes.body
https://www.surrey.ac.uk/artificial-intelligence/research

# data[].attributes.attachment_link.readable_text
The Surrey Institute for People-Centred AI brings together world-leading expertise in fundamental AI theory with cross-university domain expertise to realise and shape AI impact for public good.

A cohesive pan-university research agenda draws on the excellence and scale of research across the University providing unique focus in people-centred AI, establishing national leadership and creating a nurturing ecosystem to redefine the future of artificial intelligence with people at its heart.

This distinctive approach will strengthen our excellent collaboration with industry, public sector, government and other relevant institutions enabling the co-creation of innovative ideas and approaches to foster new research directions.

The AI Institute will focus on tackling five grand challenges for the benefit of society:

# data[].attributes.attachment_link.title
Artificial intelligence research | University of Surrey

# data[].attributes.attachment_link.description
The Surrey Institute for People-Centred AI brings together world-leading expertise in fundamental AI theory with cross-university domain expertise to realise and shape AI impact for public good. A cohesive pan-university research agenda draws on the excellence and scale of research across the University providing unique focus in people-centred AI, establishing national leadership and creating a nurturing ecosystem to redefine the future of artificial intelligence with people at its heart.

# data[].attributes.headline
King’s Institute for Artificial Intelligence, London, UK

# data[].attributes.subject
King’s Institute for Artificial Intelligence, London, UK

# data[].attributes.body
https://www.kcl.ac.uk/ai

# data[].attributes.attachment_link.title
King's Institute for Artificial Intelligence

# data[].attributes.attachment_link.description
The King's Institute for Artificial Intelligence brings together the diverse and growing community in artificial intelligence (AI) at King's College London.

# data[].attributes.headline
Artificial Intelligence Research Centre (CitAI) 

# data[].attributes.subject
Artificial Intelligence Research Centre (CitAI) 

# data[].attributes.body
https://www.city.ac.uk/research/centres/citai

# data[].attributes.attachment_link.readable_text
The Artificial Intelligence Research Centre specialises in the intersection between the development of novel AI techniques, Explainable AI (XAI) and Artificial General Intelligence (AGI), with a keen interest in the legal, ethical and social impact of AI.

The Artificial Intelligence Research Centre, CitAI, is based in the Department of Computer Science at City, University of London. We specialise in the intersection between the development of novel AI techniques, Explainable AI (XAI) and Artificial General Intelligence (AGI), with a keen interest in the legal, ethical and social impact of AI.

We are an interdisciplinary team of 12 academics and researchers with expertise in:

Computational modelling

Neuroscience

Deep learning

Genetic algorithms

Verification

Logic

Game theory

Robotics

Autonomous driving

Machine vision

Image processing

Bio-medical engineering

Agents and multi-agent systems - with applications in health and wellbeing, cybersecurity, energy, finance and transport.

We offer a full-time MSc in Artificial Intelligence which focuses on nature-based AI, with an emphasis on Deep Learning technology, including training in Convolutional and Recurrent Neural Networks, Deep Reinforcement Learning and interpretable Artificial Intelligence.

Our course strikes a balance between fundamental theories and practical skills.

We host the new high-performance Robin Milner Lab, after City's AI pioneer and Turing Award winner, where the MSc programme is delivered.

Related subjects

# data[].attributes.attachment_link.title
Artificial Intelligence Research Centre (CitAI) | City, University of London

# data[].attributes.attachment_link.description
The Artificial Intelligence Research Centre specialises in the intersection between the development of novel AI techniques, Explainable AI (XAI) and Artificial General Intelligence (AGI), with a keen interest in the legal, ethical and social impact of AI. The Artificial Intelligence Research Centre, CitAI, is based in the Department of Computer Science at City, University of London.

# data[].attributes.headline
Centre for Human-inspirel Artificial Intelligence, Cambridge university, Cambridge, UK

# data[].attributes.subject
Centre for Human-inspirel Artificial Intelligence, Cambridge university, Cambridge, UK

# data[].attributes.body
https://www.cam.ac.uk/research/news/cambridge-research-centre-puts-people-at-the-heart-of-ai

# data[].attributes.attachment_link.readable_text
The Centre for Human-Inspired Artificial Intelligence (CHIA) brings together researchers from engineering and mathematics, philosophy and social sciences; a broad range of disciplines to investigate how human and machine intelligence can be combined in technologies that best contribute to social and global progress.

Anna Korhonen, Director of CHIA and Professor of Natural Language Processing, said: "We know from history that new technologies can drive changes with both positive and negative consequences, and this will likely be the case for AI. The goal of our new Centre is to put humans at the centre of every stage of AI development - basic research, application, commercialisation and policymaking - to help ensure AI benefits everyone."

Artificial intelligence is a rapidly developing technology predicted to transform much of our society. While AI has the potential to tackle some of the world's most pressing problems in healthcare, education, climate science and economic sustainability it will need to embrace its human origins to become responsible, transparent and inclusive.

Per-Ola Kristensson, Co-director of CHIA and Professor of Interactive Systems Engineering, said: "For true progress and real-life impact it's critical to nurture a close engagement with industry, policy makers, non-governmental organisations and civil society. Few universities in the world can rival the breadth and depth of Cambridge making us ideally positioned to make these connections and engage with the communities who face the greatest impact from AI."

Designed to deliver both academic and real-world impact, CHIA seeks partners in academic, industrial, third-sector and other organizations that share an interest in promoting human-inspired AI.

John Suckling, Co-director of CHIA and Director of Research in Psychiatric Neuroimaging, said: "Our students will be educated in an interdisciplinary environment with access to experts in the technical, ethical, human and industrial aspects of AI. Early-career researchers will be part of all our activities. We are committed to inclusivity and diversity as a way of delivering robust and practical outcomes."

CHIA will educate the next generation of AI creators and leaders, with dedicated graduate training in human-inspired AI.

Professor Mark Girolami from the Department of Engineering, said: "As artificial intelligence becomes increasingly pervasive, it's critical to align its development with societal interests. This new University-wide Centre will explore a human-centric approach to the development of AI to ensure beneficial outcomes for society. Cambridge's depth of expertise in AI and a focus on interdisciplinary collaboration make it an ideal home for CHIA."

Apart from research and education, the CHIA will also host seminars, public events and international conferences to raise awareness of human-inspired AI. Forums will be convened around topics of ethical or societal concern with representation from all stakeholders.

Professor Anne Ferguson-Smith, Pro-Vice-Chancellor for Research, said: "If we're to ensure that AI works for everyone and does not widen inequalities, then we need to place people at its heart and consider the societal and ethical implications alongside its development. Cambridge, with its ability to draw on researchers across multiple disciplines, is uniquely positioned to be able to lead in this area."

Neil Lawrence, DeepMind Professor of Machine Learning, added: "Artificial intelligence is provoking new questions in our societies. It's vital that we deliver the answers in a people-centric manner. The Centre in Human-Inspired AI will provide a new interdisciplinary hub that delivers the solutions for these challenges."

# data[].attributes.attachment_link.keywords[]
mark girolami artificial intelligence artificial intelligence centre for human-inspired artificial intelligence

# data[].attributes.attachment_link.keywords[]
trinity college school of arts and humanities

# data[].attributes.attachment_link.title
Cambridge research centre puts people at the heart of AI

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The Centre for Human-Inspired Artificial Intelligence (CHIA) brings together researchers from engineering and mathematics, philosophy and social sciences; a broad range of disciplines to investigate how human and machine intelligence can be combined in technologies that best contribute to social and global progress.

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Industrial AI Research Centre, University of South Australia, Australia

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Industrial AI Research Centre, University of South Australia, Australia

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https://www.unisa.edu.au/research/industrial-ai/

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Explore Industrial AI’s research across computer sciences to develop solutions for autonomous and augmented intelligence systems.

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UCL Centre for Artificial intelligence, London, UK 

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UCL Centre for Artificial intelligence, London, UK 

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https://www.ucl.ac.uk/ai-centre/ucl-centre-artificial-intelligence

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The Artificial Intelligence Centre carries out foundational research in AI. As we transition to a more automated society, the core aim of the Centre is to create new AI technologies and advise on the use of AI in science, industry and society. The Centre brings together researchers with a shared interest in fundamental challenges in Machine Vision, Machine Learning, Natural Language Processing, Machine Action, Interpretation and Knowledge Representation.

YouTube Widget Placeholder https://youtu.be/4wO-sOey6NA

The Centre takes inspiration from the vast array of applications across UCL and acts as the engine of methodological progress. The AI Centre has close research and training links to other local AI communities, including the Gatsby Computational Neuroscience Unit and the Alan Turing Institute. The AI Centre is part of UCL's wider AI Strategy and serves as the engine of methodological development across UCL.

UCL facilities

UCL locations

Connect with UCL

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The Artificial Intelligence Centre carries out foundational research in AI. As we transition to a more automated society, the core aim of the Centre is to create new AI technologies and advise on the use of AI in science, industry and society.

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German research Centre for Artificial Intelligence, 9 locations, Germany

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German research Centre for Artificial Intelligence, 9 locations, Germany

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https://www.dfki.de/en/web

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German Research Center for Artificial Intelligence - Human-centric AI

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DFKI combines scientific excellence and commercially-oriented value creation with social awareness and is recognized as a major "Center of Excellence" by the international scientific community. In the field of artificial intelligence, DFKI has focused on the goal of human-centric AI for more than 30 years.

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IIIA-CSEC (Institut d’Investigació en Intelligencia Artificial), Barcelona, Spain

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IIIA-CSEC (Institut d’Investigació en Intelligencia Artificial), Barcelona, Spain

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https://www.iiia.csic.es/en-us/research/themes/ai-education/

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IRCAI (International Research Centre on Artificial intelligence under the auspices of UNESCO), Ljubjana, Slovenia 

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IRCAI (International Research Centre on Artificial intelligence under the auspices of UNESCO), Ljubjana, Slovenia 

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https://ircai.org/project/ai-and-education/

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Centre for AI: Social and Digital innovation, Brunel University, London, UK

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Centre for AI: Social and Digital innovation, Brunel University, London, UK

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https://www.brunel.ac.uk/research/Centres/AI-Social-and-Digital-Innovation

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Centre for AI: Social and Digital Innovation

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Centre for AI: Social and Digital Innovation

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MILA, Quebec artificial intelligence Institute, Montreal, Quebec 

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MILA, Quebec artificial intelligence Institute, Montreal, Quebec 

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https://mila.quebec/en/mila/

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A vibrant ecosystem

Founded by Professor Yoshua Bengio, Mila is now the world's largest academic research center for deep learning.

Yoshua Bengio, a Quebec researcher who specializes in artificial intelligence at the Université de Montréal, is one of the precursors of deep learning. In 1993, he founded a research lab to establish a community of high calibre researchers who share the same ethical vision for the development of AI and a common interest in the advancement of technology with extraordinary potential for society.

In 2017, Mila expands the scope of its activities through a collaboration between Université de Montréal and McGill University, working closely with Polytechnique Montréal and HEC Montréal. Today, Mila brings together a community of professors, student researchers (master's, doctorate, postdoctorate, interns, visitors), students (professional master's, specialized graduate degree), industry partners and startups working in AI.

Mila acquired the status of non-profit organization in 2018 and inaugurated its new premises in 2019 in an effervescent innovation-oriented Montreal neighborhood: the Mile-Ex. The city ranks first in Canada in AI university research, with annual funding of more than $1.34 billion.

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Yoshua Bengio, a Quebec researcher who specializes in artificial intelligence at the Université de Montréal, is one of the precursors of deep learning. In 1993, he founded a research lab to establish a community of high calibre researchers who share the same ethical vision for the development of AI and a common interest in the advancement of technology with extraordinary potential for society.

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https://www.turing.ac.uk/

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Machine Thinking: Artificial Intelligence and Its Impact on School Libraries | 14th June 2023 3.30-4.30pm (1h)

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Machine Thinking: Artificial Intelligence and Its Impact on School Libraries | 14th June 2023 3.30-4.30pm (1h)

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“This webinar will provide insight into contrasting perspectives on the meaning of AI and will discuss how it might be relevant to your school library work, including what this means for skills and competencies we need to develop as information professionals.”

Organiser : SLA (The School Library Association)

https://www.sla.org.uk/ticket/library-leaders-machine-thinking-artificial-intelligence-and-its-impact-on-school-libraries/10240

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AI conference at school | Monday 15th May 10.15-11.45am

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AI conference at school | Monday 15th May 10.15-11.45am

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“Conférence on artificial intelligence for the terminales Enseignement Scientifique.”

Organiser: Mrs S. Marcel for École Jeannine Manuel UK

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The Impact of ChatGPT and Artificial Intelligence on Education | Friday 12th May, 6-7.30pm(1h30)

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The Impact of ChatGPT and Artificial Intelligence on Education | Friday 12th May, 6-7.30pm(1h30)

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“We'll introduce ChatGPT and discuss its implications for teaching and introduce strategies for addressing ethical and course design issues.”

Guest speaker: Cynthia Alby, Professor of Teacher Education at Georgia College.

Organiser: Office of Academic Innovation

https://www.eventbrite.com/e/the-impact-of-chatgpt-and-artificial-intelligence-on-education-tickets-612468879907?aff=erelexpmlt

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What can ChatGPT do? What are its weaknesses? Why do instructors and others need to be more aware? What are practical solutions to the issues it raises? How can we prepare students to utilize AI wisely and ethically to extend their capabilities? How might ChatGPT serve as a wake-up call for long-needed reforms?

Join us on Zoom on May 12th to discuss this timely issue with facilitator Dr. Cynthia Alby, PhD. We'll introduce ChatGPT and discuss its implications for teaching and introduce strategies for addressing ethical and course design issues. You don't want to miss this one - see you there!

A﻿bout the Facilitator

Cynthia J. Alby, PhD, Georgia College

Cynthia Alby is a Professor of Teacher Education at Georgia College. Her primary research questions revolve around reimagining education and reenchanting learning so both teachers and students can flourish. She is also co-author of Learning that matters: A field guide to course design for transformative education, and for more than 20 years she has also developed Georgia faculty through the "Governor's Teaching Fellows Program" through the Louise McBee Institute of Higher Education at UGA.

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the impact of chatgpt and artificial intelligence on education

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the impact of chatgpt and artificial intelligence on education tickets

# data[].attributes.attachment_link.title
The Impact of ChatGPT and Artificial Intelligence on Education

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What can ChatGPT do? What are its weaknesses? Why do instructors and others need to be more aware? What are practical solutions to the issues it raises? How can we prepare students to utilize AI wisely and ethically to extend their capabilities?

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* Turnitin series of webinars on Academic Honesty and AI

· Webinar 1, "AI, friend or foe?" with Robin Crockett, academic integrity Lead: https://www.turnitin.com/videos/ai-friend-or-foe

· Webinar 2, "Combatting contract cheating on campus" with Irene Glendinning, academic integrity expert: https://www.turnitin.com/videos/turnitin-session-combating-contract-cheating-on-campus

· Webinar 3, "Student view on combat cheating": https://www.turnitin.com/events/virtual/webinar-3-the-student-view-on-contract-cheating (3-4pm on Wed 25/04/2023)

https://www.turnitin.com/resources/webinars/turnitin-session-series-contract-cheating-2023

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The potential for AI to transform Education

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The potential for AI to transform Education

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Interview with a School Leader and former English Teacher (E. Hutchinson newsletter)

31/03/2023

https://www.elizabethahutchinson.com/schoollibrariescpd/general-discussions/april-2023-the-potential-for-ai-to-transform-education

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Empowering learning through chatGPT and AI

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Empowering learning through chatGPT and AI

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Round-table with John Royce, freelance consultant and trainer, Susan Merrick, teacher-librarian at an international school in Surrey, and Jeri Hurd, teacher-librarian in Korea.

(School Library Podcast, E. H.)

28/03/2023

By: E. Hutchinson, Sabrina Cox, School librarian

https://www.elizabethahutchinson.com/podcast/episode/b1a30c39/empowering-learning-through-chatgpt-and-ai-insights-from-school-librarians?utm_campaign=e5c323e2-2da9-40d9-ae21-c72b8525eb05&utm_source=so&utm_medium=mail&cid=8cfb6c6c-10d2-40d8-9850-921809751a77

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Practical strategies for chatGPT in Education

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Practical strategies for chatGPT in Education

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“From the basics to advanced applications, this course is designed for educators who want to harness the power of AI technology and elevate their teaching practices. Explore six key strategies for using ChatGPT in education : Planning Refreshing Improvising Personalising Collaborating Communicating”

16/02/2023

By: Leon Fuze, Educational consultant in Australia

https://www.eventbrite.com/e/practical-strategies-for-chatgpt-in-education-tickets-528941106087

(<E.H. podcast)

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ChatGPT, school libraries, inquiry and questioning skills

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ChatGPT, school libraries, inquiry and questioning skills

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Round-table with Dominic Sunderland, Headteacher of Capella House School, Andrew Herft, Curriculum Adviser in Australia and Leon Fuze, Educational consultant in Australia

(School Library Podcast, E. Hutchinson)

09/02/2023

By: Elizabeth Hutchinson, Librarian, trainer, mentor and consultant

https://www.podbean.com/media/share/pb-ki5s3-138719d?utm_campaign=w_share_ep&utm_medium=dlink&utm_source=w_share

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“Can AI improve Education? Here are 4 potential use cases”

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“Can AI improve Education? Here are 4 potential use cases”

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1.     Differentiated instruction

2.    Intelligent Textbooks

3.    Improved assessment

4.    Personalised learning

18th April 2023

By: W. Ian O’Byrne, Associate Professor of Literacy Education, College of Charleston, South Carolina, US

https://www.weforum.org/agenda/2023/04/can-ai-improve-education-here-are-4-potential-use-cases/World Economic Forum & The Conversation

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"ChatGPT for teachers and school librarians"

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"ChatGPT for teachers and school librarians"

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Interview with Dominic Sunderland, Headteacher of Capella House School

By: School Library Podcast, E. H.

13/01/2023

https://ehutchinson44.podbean.com/e/chatgpt-for-teachers-and-school-librarians/

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Long-awaited but vague – the SoA view on the government’s artificial intelligence white paper

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Long-awaited but vague – the SoA view on the government’s artificial intelligence white paper

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31st March 2023

By: Martin Reed, Society of Authors

https://www2.societyofauthors.org/2023/03/31/long-awaited-but-vague-the-soa-view-on-the-governments-artificial-intelligence-white-paper/

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The Society of Authors - The UK trade union for more than 12,000 writers, illustrators and literary translators.

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On Wednesday (29 March 2023), the Secretary of State for Science, Innovation and Technology Michelle Donelan published the government's long-awaited white paper on machine learning systems such as GPT-4.

The white paper's publication is timely, coming just months after the launches of ChatGPT and Bard - systems which served as a wakeup call for many on the disruptive potential of AI - and after the government paused plans to introduce a copyright exemption for 'scraping' protected works to train new systems. It was also published on the day that Elon Musk and more than 1,300 other artificial intelligence experts and technologists signed an open letter urging developers to pause their work on creating even more powerful systems until 'we are confident that their effects will be positive and their risks will be manageable' - and since then Italy's privacy watchdog has banned ChatGPT on data breach concerns until the system 'respects privacy'.

The SoA's advice team are hearing increasingly from members concerned about the impact of this new technology on their livelihoods and on the unauthorised use of their work in its development.

As awareness grows of the potential benefits and the risks of artificial intelligence, regulation and oversight is needed now more than ever.

Five guiding principles but no central line

In what it describes as 'an adaptable approach' designed to avoid 'heavy-handed legislation', the white paper avoids setting out a central guiding position on artificial intelligence.

The white paper instead sets out five general principles and leaves the development of context-specific approaches to existing regulators, such as the Health and Safety Executive, Equality and Human Rights Commission and Competition and Markets Authority.

The five principles are:

safety, security and robustness: applications of AI should function in a secure, safe and robust way where risks are carefully managed

transparency and explainability: organisations developing and deploying AI should be able to communicate when and how it is used and explain a system's decision-making process in an appropriate level of detail that matches the risks posed by the use of AI

fairness: AI should be used in a way which complies with the UK's existing laws, for example the Equality Act 2010 or UK GDPR, and must not discriminate against individuals or create unfair commercial outcomes

accountability and governance: measures are needed to ensure there is appropriate oversight of the way AI is being used and clear accountability for the outcomes

contestability and redress: people need to have clear routes to dispute harmful outcomes or decisions generated by AI

We welcome the publication of the white paper, marking the first of many essential steps towards oversight of an industry whose evolution seems to be continually accelerating. And we welcome the five guiding principles that the government will now ask regulators to work with - they could provide a useful framework against which to drive and measure progress.

However, in its current form, the white paper offers little more than vague guidance and is unlikely to reassure writers, illustrators, translators and other creative professionals, whose livelihoods are already being impacted negatively by these technologies.

The white paper makes much of the £3.7 billion contribution the AI industry made to the UK economy last year and the 50,000 people it employs. In comparison, this is just 3% of the value of the creative industries, which employ almost 2.4 million people across a sector which, in the absence of effective AI oversight, is likely to face challenging consequences as a result of the new technologies.

In its attempt to avoid creating obstacles for companies to engage with or develop new technologies, the government will have to play catchup in providing protections for sections of society and professions that might become inadvertent collateral damage in the UK's drive to become a 'science and technology superpower by 2030'.

Where the SoA stands on artificial intelligence

We are working on our own paper - and with members of the Creators Rights Alliance on a cross-industry stance - on this complex and fast-changing topic, but several prime considerations come up consistently in our conversations with members, other creators' rights organisations, and with the wider creative industries.

The positive potential of machine learning and artificial intelligence tools is vast - most of us are already using it whether we know it or not. These tools are very useful to writers but that is how we must define and use these systems, as tools to serve human development, not as entities to replace what humans do.

There is no possible replacement for the value of human imagination and creativity. That is what AI builds on and humans must be rewarded for that contribution

There is an urgent need for regulation, oversight and clarity in the training of artificial intelligence systems. Where copyright works are used in development, they must be under licence and creators must be rewarded and credited. This is not a battle of copyright vs new technologies, but any innovation - technology-based or otherwise - must work within our current comprehensive and carefully balanced copyright regime.

We call on publishers and other creative businesses to state clearly their approach to using machine-generated or machine-assisted works, and to protect creators' livelihoods in an industry that is nothing without human experience.

And if a work is published or performed that was machine-generated, it must be labelled as such.

We will keep SoA members updated on our continuing discussions with industry partners.

This article was updated on 3 April 2023 to mention the banning of ChatGPT by Italy's privacy watchdog data breach concerns.

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Long-awaited but vague - the SoA view on the government's artificial intelligence white paper - The Society of Authors

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On Wednesday (29 March 2023), the Secretary of State for Science, Innovation and Technology Michelle Donelan published the government's long-awaited white paper on machine learning systems such as GPT-4.

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Article exploring questions such as

How ChatGPT could be used in schools?

Will ChatGPT do it all?

Recommended reading to learn more…

10th February 2023

By: Elizabeth Hutchinson, Librarian, trainer, mentor and consultant (website and newsletter)

https://www.elizabethahutchinson.com/post/chatgpt-and-school-libraries?utm_campaign=ba6669eb-593f-4d8d-a266-08bc1757593d&utm_source=so&utm_medium=mail&cid=8cfb6c6c-10d2-40d8-9850-921809751a77

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“Infographic: generative AI explained by AI”

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“Infographic: generative AI explained by AI”

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"What is generative AI? Visually explained.. by generative AI.

Infographics on how generative AI work".

By: Nick Routley, managing editor of Visual Capitalist

and Mark Belan, designer

1st February 2023

https://www.visualcapitalist.com/generative-ai-explained-by-ai/

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world's largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above - from illustrations and icons to the text descriptions⁠-was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person's face or a new landscape based on existing scenery

Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another

Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences

Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts

Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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Infographic: Generative AI Explained by AI

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After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world's largest tech companies.

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“Les intelligences artificielles (IA) dans l’éducation”(Ais in Education)

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“Les intelligences artificielles (IA) dans l’éducation”(Ais in Education)

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“Les intelligences artificielles simulent les productions humaines en donnant l’illusion du vrai. Réseau Canopé entend partager des ressources pour vous aider à en comprendre les enjeux, les risques et les opportunités dans l’éducation”.

17th January 2023

By: Canopé

+ Please see links in this introductive article.

https://www.reseau-canope.fr/actualites/actualite/les-intelligences-artificielles-ia-dans-leducation.html?utm_campaign=NAT+PP+-+26_01_autonomie&utm_medium=newsletter&utm_source=e-mailing&actId=ebwp0YMB8s3uKM_4HOdWh9UcvuQDVN7a57ET3fWtrS9kJNJRhid8LNWiZC5WFSpP&actCampaignType=CAMPAIGN_MAIL&actSource=518712

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John Royce’s reflexion on AI, his “take on ChatGPT and what it means to librarians and teachers.”

11th January 2023

By: John Royce, IB expert and consultant
In: E. Hutchinson newsletter

https://www.read2live.com/2023/01/11/here-we-are-again/?unapproved=764130&moderation-hash=f1eb62cbcc6c596d6f29482f1abfdcd6#comment-764130

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“L’intelligence artificielle au service des êtres humains” (AI to serve human beings)

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“L’intelligence artificielle au service des êtres humains” (AI to serve human beings)

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Article on ChatGPT (with an infographic) Brief.science,  19th December 2022

In: "brief.me" newsletter, 7th February 2023

https://app.brief.science/article/2022-12-19-406-lintelligence-artificielle-au-service-des-etres-humains?access=4b7ac47c-cbad-11ec-9d64-0242ac120002

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“Research report: The impact of AI, machine learning, automation and robotics on the information profession”

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“Research report: The impact of AI, machine learning, automation and robotics on the information profession”

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“The purpose of this independent research is to help our professional community to understand how AI, machine learning, process automation and robotics are either already impacting the daily work of healthcare information professionals or likely to do so in the near future.

In it author Dr Andrew Cox from Sheffield University, calls for a joined-up and coherent response from information professionals, enabling us to maximise the benefits of AI, machine learning, automation and robotics for information users while mitigating the emerging risks”. CILIP

May 2021

By: Dr A. Cox/CILIP

https://cdn.ymaws.com/www.cilip.org.uk/resource/resmgr/cilip/research/tech_review/cilip_%e2%80%93_ai_report_-_final_lo.pdf

< https://www.cilip.org.uk/general/custom.asp?page=researchreport

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“Comment permettre à l’Homme de garder la main ? Rapport sur les enjeux éthiques des algorithmes et de l’intelligence artificielle”

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“Comment permettre à l’Homme de garder la main ? Rapport sur les enjeux éthiques des algorithmes et de l’intelligence artificielle”

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Report on the public debate conducted by the CNIL on ethic enjeux and AI Presented by Isabelle Falque-Pierrotin, president of the CNIL, to Mounir Mahjoubi, Secrétaire d’Etat chargé du Numérique and Cédric Villani, MP, conducting a governmental mission on AI.

15th December 2017

By: CNIL (commission Nationale de l’Informatique et des Libertés)

https://www.cnil.fr/fr/comment-permettre-lhomme-de-garder-la-main-rapport-sur-les-enjeux-ethiques-des-algorithmes-et-de

(< brief.science)

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ChatGPT

(AI tool from Open AI)
https://chat.openai.com/auth/login

“ChatGPT, in full Chat Generative Pre-training Transformer, software that allows a user to ask it questions using conversational, or natural, language.” (Encyclopaedia Britannica)  “We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.” https://openai.com/research/overview  Description and guides: https://platform.openai.com/docs/introducti

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We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.

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Elicit (AI assistant for researchers and academics) 

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Elicit (AI assistant for researchers and academics) 

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Elicit

(AI assistant for researchers and academics)
https://elicit.org/

“[…] it provides GPT-3 powered AI to help frame research questions queries using the APIs for Semantic Scholar.” Alan Levine, director of community at OEGlobal  “After literature review, we’ll expand to other research tasks (evaluating project directions, decomposing research questions, augmented reading), then beyond research (supporting organizational planning, individual decision-making).” https://ought.org/updates/2022-04-08-elicit-plan

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https://www.grammarly.com/

“From grammar and spelling to style and tone, Grammarly’s suggestions are comprehensive, helping you communicate effectively and as you intend.”
(Grammarly website)
With grammar and plagiarism checker.

“It costs a lot, but real-time spelling and grammar checker Grammarly is an excellent tool for improving your writing (pretty much) everywhere.”

https://www.pcmag.com/reviews/grammarly (2020)

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Generative AI assistance for any writing challenge Try It for Free ⟶

Instantly generate clear, compelling writing while maintaining your unique voice.

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Millions trust Grammarly's AI writing assistance to communicate with confidence and make writing faster and more delightful. Getting started is simple - download the app today.

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https://www.duolingo.com/

“Duolingo was the first free language-learning app to rival expensive paid programs. It offers plenty of self-paced exercises to help you build a basic understanding of dozens of languages or review one you already know.” https://www.pcmag.com/reviews/duolingo (2023)

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Duolingo is the world's most popular way to learn a language. It's 100% free, fun and science-based. Practice online on duolingo.com or on the apps!

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10 AI programmes in Education presented by the University of San Diego 

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10 AI programmes in Education presented by the University of San Diego 

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“In terms of AI-infused specific technologies now being used in education, the list grows longer every day. Here are just a few:

Thinkster Math: described by its creators as a “math tutoring program leverages human interaction and groundbreaking artificial intelligence to create personalized learning programs”

Jill Watson: an AI-enabled virtual teaching assistant introduced by the Georgia Institute of Technology in 2016

Brainly: a social media site for classroom questions

Nuance: speech recognition software used by students and faculty; capable of transcribing up to 160 words per minute; especially helpful for students who struggle with writing or have accessibility needs

Cognii: AI-based products, including a virtual learning assistant, for K-12 and higher education institutions, as well as corporate training organizations

KidSense: AI educational solutions designed for children, including a voice-to-text tool with algorithms built to recognize the sometimes harder-to-translate speech of young learners

Content Technologies: instructional design and content application solutions fueled by artificial intelligence research engines

As explained by CEO Dr. Scott Parfitt (see video), Content Technologies Inc. develops AI learning systems that are focused on “turning big data into information, and information into knowledge.”

“We send an engine out, it starts reading at light speed every article it can read. It’s learned its own material,” says Parfitt. The company’s education-focused solutions include:

Palitt: built to help instructors easily create “your own custom lecture series, syllabus or textbook”

Cram101: AI technology that can “turn any textbook into a smart study guide complete with chapter summaries, unlimited true-false and multiple choice practice tests and flashcards all drilled down to a specific textbook, ISBN number, author and chapter.”

JustTheFacts101: intended to function as the AI equivalent of an old-fashioned yellow marker, instantly highlighting and generating book and chapter-specific summaries”

Source : https://onlinedegrees.sandiego.edu/artificial-intelligence-education/

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AutoGPT (AI agent using GPT-4 for organisation in subtasks)

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AutoGPT (AI agent using GPT-4 for organisation in subtasks)

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https://autogpt.net/

""Auto-GPT is able to carry out more complex, multi-step procedures than existing LLM-powered applications by creating its own prompts and feeding them back to itself, creating a loop.[...]
It works by breaking a larger task into smaller sub-tasks and then spinning off independent Auto-GPT instances in order to work on them. The original instance acts as a kind of project manager, coordinating all of the work carried out and compiling it into a finished result.

As well as using GPT-4 to construct sentences and prose based on the text it has studied, Auto-GPT is capable of browsing the internet and including information it finds there in its calculations and output. In this respect, it’s more similar to the new GPT-4 enabled version of Microsoft’s Bing search engine. It also has a better memory than ChatGPT, so it can construct and remember longer chains of commands.

Auto-GPT is an open-source application that uses GPT-4 and was created by Toran Bruce Richards. Richards said that he was inspired to develop it because traditional AI models, “while powerful, often struggle to adapt to tasks that require long-term planning, or are unable to autonomously refine their approaches based on real-time feedback.”
source: https://www.forbes.com/sites/bernardmarr/2023/04/24/auto-gpt-may-be-the-strong-ai-tool-that-surpasses-chatgpt/

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Stay up-to-date on the latest developments in artificial intelligence and natural language processing with the Official Auto-GPT Blog. Get insights into how GPT technology is transforming industries and changing the way we interact with machines. Subscribe today and join the conversation!

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Bard (Google chatbot for text-based tasks)

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Bard (Google chatbot for text-based tasks)

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https://bard.google.com/

“Google Bard is a new chatbot tool launched in the wake of all the buzz around generative AI, inspired by the likes of ChatGPT. Bard is designed to simulate conversations with a human and uses a combination of natural language processing and machine learning, to provide realistic, and helpful responses to questions you might ask it.

In theory, Bard may one day be integrated into websites, message platforms, applications on desktop and mobile, and a range of digital systems. Google’s roll-out has been troubled from the get-go, but it’s slowly opening up access to more and more people.”

Source: https://www.digitaltrends.com/computing/how-to-use-google-bard/ (John Martindale, 04/04/2023)

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https://news.microsoft.com/2023/05/09/introducing-the-microsoft-365-copilot-early-access-program-and-the-2023-work-trend-index/(09/05/2023) < https://tech.co/news/microsofts-ai-copilot-better (Aaron Drapkin, 10/05/2023)

https://www.forbes.com/sites/danielnewman/2023/03/20/microsoft-copilot-generative-ai-adds-an-mba-to-your-day-to-day/ (Daniel Newman, 20/03/2023)

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Microsoft is yet to say precisely when Copilot - which is powered by OpenAI's most capable language model yet, GPT-4 - will be rolled out to the hundreds of millions of people using Microsoft 365 programs and Microsoft Teams.

New CoPilot AI Features Added

Along with announcing the CoPilot Early Access Program, Microsoft also revealed a number of new features that will be added to Copilot.

Copilot in Whiteboard, for example, is designed for more effective brainstorming and group ideation sessions.

"Using natural language, you can ask Copilot to generate ideas, organize ideas into themes, create designs that bring ideas to life, and summarize Whiteboard content," Microsoft explains in a blog post published this week.

Microsoft 365 users will soon be able to ask DALL-E to create unique, custom images for their PowerPoint presentations.

There will be support for staff writing high volumes of emails too. Copilot "will offer coaching tips and suggestions on clarity, sentiment, and tone to help users write more effective emails and communicate more confidently" within Outlook, Microsoft says.

Microsoft has also developed what it calls a "semantic index" for Copilot, which lets the generative AI tool search more effectively through your company's documents and data to find things that staff need.

The AI Revolution: Should Your Business Use Copilot and ChatGPT?

Once it's released, using a tool like Copilot to do your day-to-day heavy lifting and administrative legwork - as well as tasks like summarizing reports - is a no-brainer. Employees that are already using ChatGPT - as well as Google's chatbot, Bard - are clawing back hours upon hours of their workday. Built-in tools could be the next stage of this high-paced AI revolution.

There are, however, important things to consider when using AI in the workplace, for businesses of all shapes and sizes. For example, if you're publishing content produced by AI, it'll be a good idea to specify this in your editorial guidelines or declare it in such articles. This is just one of a myriad of complex considerations many businesses will have to confront in the coming months.

Understanding the limitations of products like ChatGPT is crucial too. If your business is using ChatGPT, you need oversight over what people in your business are using it for, and whether they know important facts that should sculpt their usage, like the fact it struggles with questions relating to events post-2021.

With genuinely useful AI tools in their relative infancy - but rapidly improving - creating a strategy, as well as company guidelines for its use, will put you in good stead going forward.

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Microsoft's AI-Powered Assistant Copilot Just Got Even Better

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Microsoft is yet to say precisely when Copilot - which is powered by OpenAI's most capable language model yet, GPT-4 - will be rolled out to the hundreds of millions of people using Microsoft 365 programs and Microsoft Teams. Along with announcing the CoPilot Early Access Program, Microsoft also revealed a number of new features that will be added to Copilot.

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"As of right now, there’s still not a definitive yes or no as to whether these generative AI programs are on the right or wrong side of the law—though we do at least know that AI-generated images can not be copyrighted. [in the US]"
https://www.popularmechanics.com/technology/a43557128/ai-image-generators-review/ (24/04/2023)

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Midjourney

(Midjourney)

https://www.midjourney.com/

https://midjourney-app.com/
"Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species.
We are a small self-funded team focused on design, human infrastructure, and AI. We have 11 full-time staff and an incredible set of advisors”.
Source:midjourney website frontpage

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DALL-E 2
(OpenAI)
https://openai.com/product/dall-e-2
“most popular AI art generator on the market. […] a very capable image generator and the blueprint for all the models that followed.”

https://www.zdnet.com/article/best-ai-art-generator/ (Sabrina Ortiz, 17/05/2023)

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Bing Image Creator
(Microsoft, using DALL-E via Bing)
https://www.bing.com/create
"Image Creator generates AI images based on your text."

“Using the Bing Image Creator only requires a Microsoft account and access to Bing.com, no need for a DALL-E 2 or OpenAI account.”
https://www.zdnet.com/article/how-to-use-bing-image-creator/ (Maria Diaz, 16/04/2023)
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Stable Diffusion
(Stability AI)

https://stablediffusionweb.com/

“Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds.” https://stablediffusionweb.com/

“Stable Diffusion was released in August 2022 by startup Stability AI, alongside a number of academic and non-profit researchers. However, unlike other deep learning text-to-image models, Stable Diffusion is not confined to the cloud — you can run it locally.” https://www.digitaltrends.com/computing/stable-diffusion-vs-midjourney/ (John Martindale, 23/03/2023)

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AI Image Generators Will Blow Your Mind. Here Are the Best 3 Right Now

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Think of it as a ChatGPT service for images.

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https://tome.app/
“[...] a first-of-its-kind tool that can turn your documents into presentations”

By: Kristin Houser, Freethink.com

24/03/2023

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