Yves Demazeau, Senior Researcher at CNRS Grenoble (France)
Yves Demazeau received his PhD in Computer Science at INP Grenoble in 1986. He has been distinguished ECCAI Fellow in 2010 and Doctor Honoris Causa at University of Southern Denmark Odense in 2017. He is Director of Research at CNRS since 1988, and Invited Professor at SDU since 2002. Yves Demazeau is one of the founders of the Multi-Agent Systems (MAS) area. He has edited 41 books or proceedings, has (co-)authored 216 papers and has been invited for 60 lectures, 22 tutorials, and 198 seminars. He has (co-)advised 32 PhD students and 57 MSc and served in 296 conference program committees. He is conducting the PAAMS series since 2009 and the National AI Platform PFIA since 2013. He served as Editor-in-Chief of the French AI Journal (RIA) from 2010 to 2018 and as the President of the French Association for Artificial Intelligence (AFIA) from 2011 to 2020.
Iyad Rahwan, Director of the Max Planck Institute for Human Development (Germany)
Iyad Rahwan is a director of the Max Planck Institute for Human Development in Berlin, where he founded and directs the Center for Humans & Machines. He is also an honorary professor of Electrical Engineering and Computer Science at the Technical University of Berlin. Until June 2020, he was an Associate Professor of Media Arts & Sciences at the Massachusetts Institute of Technology (MIT). A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia.
Rahwan's work lies at the intersection of computer science and human behavior, with a focus on collective intelligence, large-scale cooperation, and the societal impact of Artificial Intelligence and social media. His early work explored how social media can be used to achieve unprecedented feats, such as searching an entire continent within 9 hours, and re-assembling shredded documents. He led the winning team in the US State Department's Tag Challenge, using social media to locate individuals in remote cities within 12 hours using only their mug shots.
Recently, Rahwan led a team that crowdsourced 40 million decisions from people worldwide about the ethics of autonomous vehicles. Through a series of projects, he also exposed tens of millions of people world-wide to new implications of AI, such as bias in machine learning, human-AI creativity and the ability of AI to induce fear and empathy in humans at scale.
Another theme that interests Iyad is the future of work and human-machine cooperation. He demonstrated the world's first human-level strategic cooperation by an AI, and innovated new methods to anticipate the potential impact of AI on human labor.
Iyad Rahwan's work appeared in major academic journals, including Science, Nature and PNAS, and features regularly in major media outlets, including the New York Times, The Economist, and the Wall Street Journal. It was also featured in some of the world’s leading museums, such as Science Museum London and Cooper Hewitt Smithsonian Design Museum.
