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Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun.
He is Full Professor at Université de Montréal, and the Founder and Scientific Director of Mila – Quebec AI Institute. He co-directs the CIFAR Learning in Machines & Brains program as Senior Fellow and acts as Scientific Director of IVADO. In 2019, he was awarded the prestigious Killam Prize and in 2022, became the computer scientist with the highest impact in the world as measured by h-index.
He is a Fellow of both the Royal Society of London and Canada, Knight of the Legion of Honor of France, Officer of the Order of Canada, Member of the UN’s Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology since 2023 and a Canada CIFAR AI Chair.
Concerned about the social impact of AI, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence
Stuart J. Russell is professor (and formerly chair) of Electrical Engineering and Computer Sciences at the University of California at Berkeley. He is holder of the Smith-Zadeh Chair in Engineering and director of the Centre for Human-Compatible AI. His book Artificial Intelligence: A Modern Approach is the standard text in AI; it has been translated into 14 languages and is used in over 1,400 universities in 128 countries.
He is an honorary fellow of Wadham College, Oxford; distinguished fellow of the Stanford Institute for Human-Centered AI; and fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. He is a recipient of the Presidential Young Investigator Award of the National Science Foundation, the IJCAI Computers and Thought Award, the World Technology Award (Policy category), the Mitchell Prize of the American Statistical Association, the Feigenbaum Prize of the Association for the Advancement of Artificial Intelligence, and Outstanding Educator Awards from both ACM and AAAI.
He received his B.A. with first-class honours in physics from Oxford University in 1982 and his Ph.D. in computer science from Stanford in 1986.
Dan Nechita led the technical negotiations for the EU Artificial Intelligence Act on behalf of the European Parliament. For the 2019-2024 mandate, besides artificial intelligence, he focused on digital regulation, security and defense, and the transatlantic partnership as Head of Cabinet for Dragos Tudorache, MEP.
Previously, he was a State Counselor for the Romanian Prime Minister with a mandate on e-governance, digitalization, and cybersecurity. He worked at the World Security Institute (the Global Zero nuclear disarmament initiative); at the Brookings Institution Center of Executive Education; as a graduate teaching assistant at the George Washington University; at he ABC News Political Unit; and as a research assistant at the Arnold A. Saltzman Institute of War and Peace at Columbia. He is an expert project evaluator for the European Commission and a member of expert AI working groups with the World Economic Forum and the United Nations. Dan is a graduate of the George Washington University (M.A.) and Columbia University in the City of New York (B.A.).
Benjamin Prud'homme is Vice-President of Policy, Safety and Global Affairs at Mila - Quebec AI Institute. His work focuses on AI Governance, AI Safety and Human Rights, with a focus on bilateral relationships and multilateral forums. He is an appointed member of the United Nations Consultative Network of Experts, the OECD.AI Network, and UNESCO's AI Ethics Experts Without Borders. He also co-leads the GPAI project "Creating Diversity in AI Ecosystems" and supports Professor Yoshua Bengio in his role as Chair of the International Scientific Report on the Safety of Advanced AI. In 2023, he co-edited the Mila-UNESCO publication "Missing Links in AI Governance". He holds a law degree (University of Montreal) and was an Aisenstadt Fellow at the Centre for Human Rights and Legal Pluralism (McGill University).
Dr. Agnes Delaborde is head of the artificial intelligence evaluation department at LNE, after several years with the French CNRS, and Sorbonne University. She currently manages a team of fifteen engineers and PhDs, who are regularly joined by PhD students, post-docs and trainees. Agnes specializes in assessing the impact of new technologies on human users and industry. Her multidisciplinary approach covers several aspects of artificial intelligence: psychosocial components, performance, security, safety, ethics, acceptability and regulation. She coordinates a number of projects for LNE in a range of domains, including agricultural robotics, industrial and medical robotics, and natural language processing. Since 2017, she has been a member of the steering committee of the Data Sciences and AI cluster of the Systematic competitiveness cluster, as Vice-President Vision & Foresight and in charge of the "AI Assessment" axis. As an expert, she supports various state bodies and supervisory bodies (Ministry of Labour, ASN, etc.) in understanding the regulatory requirements for AI.
Nicolas (Nico) Miailhe is the co-founder and CEO of PRISM Eval, a start-up based in Paris that specializes in the evaluation, interpretability, and alignment of cutting-edge AI models. PRISM Eval is leading the new research domain of GenAI Cognitive Science.
Until December 2023, Nico was Chief Executive Officer of The Future Society (TFS), which he originally co-founded in 2014 at the Harvard Kennedy School of Government. As a strategic thought leader, Nico has advised governments, international organizations, philanthropies, and multinational corporations globally. He serves as an appointed expert to the Global Partnership on AI (GPAI), where he co-chairs the Committee on Climate Action & Biodiversity Preservation, and is an invited expert to the OECD’s AI Group of experts (ONE AI) and UNESCO’s High Level Expert Group on AI Ethics.
Lucie, in her role as Applied Policy Researcher at Hugging Face, works on the intersection of policy and AI technology. Her research focuses on harnessing AI to support online communities, such as on Wikipedia. Driven by a commitment to community-driven decision-making, she integrates her expertise in machine learning, AI ethics, and policy to address critical societal challenges.
She earned her PhD from the School of Electronics and Computer Science, University of Southampton, as part of the Web and Internet Research Group. She was a postdoc at CopeNLU, a NLP research group located at the University of Copenhagen (Københavns Universitet), postdoc at HPI Potsdam, Germany, Bloomberg Intern in London UK, research associate at the TIB Scientific Data Management Research Group in Hanover.
Vincent Corruble received degrees in Engineering (Ecole Centrale de Lille), a M.S. in Systems Engineering (University of Virginia), a Ph.D. in Artificial Intelligence (UPMC, Paris 6). After postdocs in South Africa, the US, and the UK, he joined the faculty of UPMC (now Sorbonne Université), LIP6 laboratory, where he has been member of the Multi-Agent Systems group since 2007.
He has contributed to the fields of Machine Learning and Pattern Recognition, Machine discovery and Data Science, with applications to history of medicine and medical research. He worked also on learning agents and multi-agent systems, with significant applications in the areas of Game AI, and in Smart Cities and urban simulation. This also led to a focus on virtual characters and agent architectures, with emphasis on affective computing to model emotions and their interplay with personality and social interactions.
Last but not least, Vincent Corruble has developed a major interest for AI safety, and more specifically on how agents and humans can develop safe cooperation and trust over time, and on the following critical issue: 'what do we gain and lose as individuals and as a society when we rely increasingly on machines to make mundane or critical decisions'. In this context, he visited CHAI at UC Berkeley in 2019, and has been a Research Affiliate with this center since.
Imane Bello is FLI’s AI Safety Summit Lead. Previously, Ima worked as a legal and policy counsel on AI. In this capacity, she advised ML companies, NGOs and other stakeholders on compliance in artificial intelligence (governance, risk management, ethics and human rights).
Ima holds the Paris Bar Exam Certificate, a master’s degree in Global Governance Studies from Sciences Po Paris and bachelor’s degrees in social sciences, law and political sciences from Sciences Po Paris, Nancy II and the Free University of Berlin. She speaks French, English, German and a decent amount of Spanish.