Ethical Issues of Generative AI
In this keynote, Laurence Devillers offers studies and reflections on the ethical issues of generative artificial intelligence (AI).
The special feature of generative artificial intelligence systems is that they are based on generative models that can produce multiple outputs: generation of text or images for various purposes such as translation, production of computer code, chatbots, decision support and so on. These models, pre-trained on large datasets, can be optimised to produce a new application using little additional data specific to that task.
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The social and economic impact of generative AI systems is likely to be major in many potential uses, for example in the environment or in healthcare. However, these generative AI systems raise many ethical, epistemological, anthropological, psychological, economic, social, political and cultural questions. Some of these issues will continue to occur as these technologies are put to new uses, and it is not yet possible to predict all the effects they will have on individuals and society.
Since the end of 2022, economic and political actors in several countries are discussing the impact of language models built with these generative AI systems. Some of these models have an impressive number of parameters. The race for the largest model is ongoing, but it is not certain that larger models would deliver higher performance.
Laurence Devillers was involved as a co-writer of the opinion n°7 of the ethical issues of generative artificial intelligence in the CNPEN (National Pilot Committee for Digital Ethics). In this opinion, CNPEN focuses on the most important ethical issues in the light of current experience with generative AI systems, mainly on language models.
Lesgever/spreker
Laurence Devillers
Laurence Devillers is a full professor of Artificial Intelligence (AI) at Sorbonne University and heads the research team on 'Affective and social dimensions in Spoken interactions with (ro)bots: technological and ethical issues' at CNRS-LISN. Since 2020, she also has also been project coordinator of the interdisciplinary project on AI and digital nudge 'HUMAAINE: HUman-MAchine Affective INteraction & Ethics' at CNRS. Her topics of research are Human-Machine co-evolution: from the modelling of emotions and human-robot dialogue to the ethical impacts for society and the risks and benefits of AI. She is involved in the tripartite project LeCycl. She is a member of the National Pilot Committee for Digital Ethics (CNPEN). She is president of the Foundation Blaise Pascal on cultural mediation on Mathematics and Computer Science. She is responsible of the JTC21/CEN_CENELEC WG4 on Foundational and Societal Impact of AI that include AI-enhanced Nudging, Trustworthiness AI and 'Green' AI. She has written books that have attracted a wide audience: Les robots émotionnels (ed. L'Obs., 2020) and Des Robots et des Hommes: mythes, fantasmes et réalité (ed. Plon, 2017).
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