Chairs in AI & society

Artificial Intelligence offers great opportunities for elaborating innovative solutions to improve people’s life and their social environment. The integration of AI into society affects most areas of private and social lives, at the collective and individual levels. In response, individuals, groups and institutions implement regulatory processes to address the real or imagined risks resulting from AI. To avoid both disaster scenarios and the dangers of wilful blindness, social and computer scientists should join forces to implement research on the actual societal impact of AI. Moreover, reasoned regulation of AI requires not only an understanding of algorithms and technologies, but also the study of the social value and meaning that users attribute to them and the understanding of the society where they are deployed. Grenoble is particularly well prepared to meet this challenge. For several years, the Univ. Grenoble Alpes IDEX programme has been promoting the development of humanities and social sciences, fostering interdisciplinary work in the digital field. Our objective within MIAI is to build on these foundations and change scale by implementing two programmes: Integration of AI into society; Regulation of AI by society.

AI regulation

The ethical and legal aspects of AI are crucial to citizens' rights and sometimes even to their lives and physical integrity, as in the case of autonomous weapons systems. A first line of research will be to clarify how regulation can support ethical innovation without the legal arsenal becoming a stumbling block to the development of AI. Another line of research will be to use the reflexivity that characterises the philosophical approach to define fundamental values that underlie balanced and unbiased AI (race, gender, class). These two questions will be addressed by an interdisciplinary team of experts in law, economics, data science, ethics, political philosophy, philosophy of law and philosophy of cognition.

Integration of AI into society

The societal impact of the "algorithmic turn" cannot be properly examined if AI is considered as a factor external to society (“a revolution”) rather than as a process of change deeply rooted in the real-life activities and constraints. This is the challenge of this programme, which will bring together AI approaches (data mining, machine learning, platform experiment) and typical social science methods (interviews, lab experiment) to observe the integration of AI in different social, economic and professional contexts (in a company, a store, a school, in the judicial system, etc.) and propose algorithms that can adapt to these changing conditions.