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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:

• Responsible AI Strategy for the Environment (RAISE)
  
• Towards Real Diversity and Gender Equality in AI
• Optimising social media recommender systems for a socially positive outcome
• Scaling Responsible AI Solutions
• Sandbox for Responsible AI – A Procurement Scenario

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)
• Bogumił Kamiński, Warsaw School of Economics
• Przemyslaw Biecek, Warsaw University of Technology
• Aditya Mohan, National Standards Authority of Ireland
• Inese Podgaiska, Association of Nordic Engineers
• Juliana Sakai, Transparência Brasil
• Joaquín Quiñonero, Facebook
• Emile Aarts, Tilburg University
• Miguel Luengo-Oroz, UN Global Pulse
• Peter-Paul Verbeek, University of Twente
• Arunima Sarkar, World Economic Forum (WEF)
• Ivan Reinaldo Meneghini, Instituto Federal Minas Gerais (IFMG)
• Konstantinos Votis, Visual Analytics Lab at CERTH/ITI
• Rachel Dunscombe, Imperial College London
• Rob Heyman, ICHEC – Brussels
• Venkataraman Sundareswaran, World Economic Forum
• Yuval Roitman, Ministry of Justice
• Adrian Weller, Centre for Data Ethics and Innovation (CDEI) advisory board, The Alan Turing Institute
• Alistair Knott, University of OtagoAmir Banifatemi, XPRIZE
• Andrea A. Jacob , Code Caribbean
• Clara Neppel, IEEE European Business Operations
• Daniele Pucci, Istituto Italiano di Tecnologia, Genova
• Emmanuel Ekulu, AFEGOSTI - African Forum for Ethics and Governance of Science, Technology & Innovatio
• Farah Magrabi, Macquarie University, Australian Institute of Health Innovation
• Francesca Rossi, IBM Research
• Juan David Gutierrez , Universidad del Rosario
• Kate Hannah, Director, The Disinformation project; Principal Investigator, Te Pūnaha Matatini
• Kudakwashe Dandajena, , "African Institute for Mathematical Sciences (AIMS) and University of the Western Cape"
• Michael Justin O'Sullivan, University of Auckland
• Myuhng-Joo Kim, Seoul Women's University
• Nicolas Miailhe, The Future Society
• Osamu Sudo, Chuo University
• Paola Ricaurte Quijano, Tecnológico de Monterrey
• Ricardo Baeza-Yates, Institute for Experiential AI of Northeastern University,
• Stuart Russell, UC Berkeley
• Virginia Dignum, Umeå University
• Dino Pedreschi, University of Pisa
• Tom Lenaerts, Université Libre de Bruxelles – FARI, the AI for common Good Institute
• Hiroaki Kitano, Sony Computer Science Laboratories, Inc.
• Susan Leavy, School of Information and Communication,University College Dublin, Ireland
• Ivan Bratko, University of Ljubljana
• Sandro Radovanović, University of Belgrade

Observers

• Celine Caira, OECD