18-22 July 2022, Aubervilliers, France

The international forum Intelligence Augmentation and Amplification plus Society 2022, organized by the Japan Science and Technology Agency (JST), the École des Hautes Etudes en Sciences Sociales (EHESS) and the Centre National de la Recherche Scientifique (CNRS), aims at creating an innovative dialogue to explore new research issues and methodology for a future symbiotic society with artificial intelligence. It involves researchers working on a wide array of topics and disciplines, in particular in the fields of Social Sciences and Humanity (SSH) and Computer/Engineering Sciences (CS/ES), revolving around artificial intelligence. The participants will be divided into three panels to discuss the designated topics and draw the goals and its roadmaps for a future society with scientific, technical, ethical, and humanity challenges. Each of the three days is composed of a plenary session in the morning and a panel session in the afternoon, to allow discussions in sub-groups. On Monday, 18 July, the plenary session is open to the public upon registration. This session focuses on three topics: “National strategy related to AI” presented by Isabelle Herlin (Inria) and Bertrand Pailhes (CNIL), an introduction to the summer school by Romain Huret (EHESS), Kenji Mase (Nagoya University) and Catherine Pelchaud (CNRS), and a methodological discussion on AI and SSH with Valérie Beaudoin (CEMS, EHESS). Panels sessions, only for participants, will talk about “A Knowledge Revolution? AI and Brain”, “Data, AI and trust” and “Working & Living in a Cyber Physical AI world: which interactions between human being and machine?”.

Within the framework of its research theme "Thinking Innovation through the Interactions between Science, Culture and Society", the Fondation France-Japon de l’EHESS has developed issues of artificial intelligence in conjunction with several of its partners such as the Japan Science and Technology Agency (JST), the Japanese-German Center Berlin (JDZB), Air Liquide, and an initiative of the EHESS, the Interdisciplinary Research Programme "Artificial Intelligence and Social Sciences" (PRI IA).

Published: April 2023