Workshop: “AI, Regulation and Decision Making”
École normale supérieure, Salle Jaurès, 29 rue d’Ulm 75005 Paris
Speakers: Thierry Poibeau (CNRS & ENS-PSL), Anita Burgun (Université Paris Cité, HEGP and Necker Hospital), Franziska Poszler (Institute for Ethics in AI at the Technical University of Munich)
Pre-registration (required): https://forms.gle/8SBo5eDPG4w25YHT7
Talks will be held in English.
Use and regulation of AI at a time when the AI Act is being implemented at European level.
The workshop is organized by ENS-PSL in association with PRAIRIE. It is also the result of a collaboration between the Institute for Ethics in AI at the Technical University of Munich and the Ecole normale supérieure-PSL.
* 17h — Thierry Poibeau (CNRS & ENS-PSL): Welcome and Introduction
* 17h05 — Anita Burgun (Université Paris Cité, HEGP and Necker Hospital): Augmented intelligence vs AI to support health decision making
Abstract: Several AI-based applications have been recently suspended for giving harmful advice. To avoid this kind of problem in the future, medical doctors are now asking for augmented intelligence to involve medical experts in the algorithms’ development, and for the integration of human knowledge in order to enhance the accuracy in decision making
* 17h35 — Franziska Poszler (Institute for Ethics in AI at the Technical University of Munich): The impact of decision-support systems on humans’ ethical decision-making
Abstract: With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. This presentation will summarize one of our working papers in which we conducted a systematic literature review to illustrate how decision-support systems shape humans’ ethical decision-making on an individual and societal level.
* 18h05 — Thierry Poibeau (CNRS & ENS-PSL): Some comments on the notion of bias in AI
Abstract: A major source of concerns for ethical AI and for a fair representation of people is the notion of bias. In this talk, we show that while a lot of research has been devoted to removing bias in data, this notion is not always precisely defined, which leads to difficulties and misunderstanding so as what automatic systems can do.
* 18h30 — Debate on the regulation of AI in view of the AI act, with the different speakers and with Prof. C Lütge (Director of the TUM Institute for Ethics in AI, a member of the Scientific Board of the European AI Ethics initiative AI4People as well as of the German Ethics Commission on Automated and Connected Driving)
Anita Burgun is Professor of Biomedical Informatics at Université Paris Cité, and works at HEGP and Necker Hospital. She is a fellow of the AI PR[AI]RIE Institute where she leads a program on AI for rare diseases
Franziska Poszler is a PhD student and research associate at the Chair of Business Ethics and the Institute for Ethics in AI at the Technical University of Munich, Germany.
Thierry Poibeau is a CNRS Research Director working at the Ecole normale supérieure. He is a fellow of the AI PR[AI]RIE Institute where he develops research on natural language processing and digital humanities.