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The work of the Working Group on Responsible AI (RAI) is grounded in a vision of AI that is human-centred, fair, equitable, inclusive and respectful of human rights and democracy, and that aims at contributing positively to the public good. RAI's mandate aligns closely with that vision and GPAI’s overall mission, striving to foster and contribute to the responsible development, use and governance of human-centred AI systems, in congruence with the UN Sustainable Development Goals.

RAI, as all other GPAI Working Groups, does not operate in a silo within GPAI. RAI seeks to collaborate with other Working Groups. For instance, RAI works with the Data Governance Working Group when their respective projects share common dimensions.

Finally, the ad hoc AI and Pandemic Response Subgroup that was created in July 2020 to support the responsible development and use of AI-enabled solutions to COVID-19 and other future pandemics, was merged to the RAI in February 2022. The projects this group were working on were also transferred under the stewardship of the RAI.

The Working Group on Responsible AI is pursuing the following projects:

• A responsible AI strategy for the environment
• Responsible AI for social media governance
• AI for public-domain drug discovery
• Pandemic resilience

2022

 AI for Net Zero Electricity (December 2022)

 R‌esponsible AI Working Group Report (November 2022)

 Transparency mechanisms for social media recommender algorithms: From proposals to action (November 2022)

 Biodiversity and Artificial Intelligence: Opportunities and recommendations for action (November 2022)

 AI-powered immediate response to pandemics: Summaries of top initiatives (March 2022)

 Measuring the environmental impacts of Artificial Intelligence compute and applications: The AI footprint (November 2022)

 AI for public good drug discovery: Advocacy efforts and a further call to action (October 2022)

2021

 R‌esponsible AI Working Group Report (November 2021)

Responsible AI for social media guidance: A proposed collaborative method for studying the effects of social media recommender systems on users (November 2021)

Climate change and AI: Recommendations for government action (November 2021)

2020

Responsible AI Working Group Report (November 2020)

Areas for future action in the responsible AI ecosystem (supporting report prepared for GPAI by the Future Society, December 2020)

Group contact point: GPAI Montreal Centre of Expertise

Group participants

• Raja Chatila, Sorbonne University (co-chair)
• Catherine Régis, University of Montréal (co-chair)
• Emile Aarts, Tilburg University
• Carolina Aguerre, Center for Technology and Society (CETyS)
• Genevieve Bell, Australian National University
• Yoshua Bengio, Mila, Quebec Artificial Intelligence Institute
• Przemyslaw Biecek, Warsaw University of Technology
• Ivan Bratko, University of Ljubljana
• Joanna Bryson, Hertie School
• Partha Pratim Chakrabarti, Indian Institute of Technology Kharagpur
• Jack Clark, OpenAI
• Virginia Dignum, Umeå University
• Dyan Gibbens, Trumbull Unmanned
• Kate Hannah, Te Pūnaha Matatini, University of Auckland
• Toshiya Jitsuzumi, Chuo University
• Bogumił Kamiński, Warsaw School of Economics
• Alistair Knott, University of Otago
• Pushmeet Kohli, DeepMind
• Marta Kwiatkowska, Oxford University
• Christian Lemaître Léon, Metropolitan Autonomous University
• Miguel Luengo-Oroz, UN Global Pulse
• Ivan Reinaldo Meneghini, IFMG
• Vincent C. Müller, Technical University of Eindhoven
• Wanda Muñoz, SEHLAC Mexico
• Alice H. Oh, Korea Advanced Institute of Science and Technology School of Computing
• Luka Omladič, University of Ljubljana
• Julie Owono, Internet Sans Frontières
• Dino Pedreschi, University of Pisa
• Cesar Alberto Penz, Federal Insitute of Education, Science and Technology of Santa Catarina
• Joaquín Quiñonero, Facebook
• V K Rajah, Advisory Council on the Ethical Use of Artificial Intelligence and Data
• Francesca Rossi, IBM Research
• David Sadek, Thales Group
• Rajeev Sangal, International Institute of Information Technology Hyderabad
• Matthias Spielkamp, Algorithm Watch
• Osamu Sudo, Chuo University
• Peter-Paul Verbeek, University of Twente

Observers

• Ricardo Baeza-Yates, NTENT Hispania
• Amir Banifatemi, AI Commons
• Vilas Dhar, The Patrick J. McGovern Foundation
• Marc-Antoine Dilhac, ALGORA Lab
• Mehmet Haklidir, Informatics and Information Security Research Centre
• Nicolas Miailhe, The Future Society
• Adam Murray, OECD Network of Experts on AI
• Karine Perset, OECD
• Golestan Radwan, Government of Egypt
• Sasha Rubel, Digital Innovation and Transformation Section, Communication and Information Sector, UNESCO
• Stuart Russel, UC Berkeley