AI & Human Values

Laurence Devillers (1, 2) , Françoise Fogelman-Soulié (3) , Ricardo Baeza-Yates (4)

1 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
2 SU - Sorbonne Université
3 Hub France IA
4 Institute for Experiential AI, Northeastern University at SV, San Jose

This chapter summarizes contributions made by Ricardo Baeza-Yates, Francesco Bonchi, Kate Crawford, Laurence Devillers and Eric Salobir in the session chaired by Françoise Fogelman-Soulié on AI & Human values at the Global Forum on AI for Humanity. It provides an overview of key concepts and definitions relevant for the study of inequalities and Artificial Intelligence. It then presents and discusses concrete examples of inequalities produced by AI systems, highlighting their variety and potential harmfulness. Finally, we conclude by discussing how putting human values at the core of AI requires answering many questions, still open for further research.

Domaines: Interface homme-machine [cs.HC]

Laurence Devillers, Françoise Fogelman-Soulié, Ricardo Baeza-Yates. AI & Human Values. Reflections on Artificial Intelligence for Humanity, 12600, Springer International Publishing, pp.76-89, 2021, Lecture Notes in Computer Science, 978-3-030-69127-1. ⟨10.1007/978-3-030-69128-8_6⟩. ⟨hal-04423272⟩