Artificial Intelligence; Fairness; AI Act; Liability; Fair Trial; Access to education; maniupalitve AI; high risk; unacceptable risk; platform moderation; Global South; funamdental rights; AI governance; Gender equality; inclusivity; robotics; regulation; online platforms
Abstract :
[en] This issue brings together 13 rigorous studies that analyse various facets of the interrelationship between fairness and individual safeguards in the field of AI. They do so by examining, on the one hand, the need for specific and tailor-made individual safeguards able to prevent instances of unfairness (discrimination, harm) from occurring, and, on the other hand, by clarifying the role those safeguards play in rectifying such instances, should they occur. Committed to interdisciplinarity, this issue offers important and original insights from a variety of disciplines and perspectives: that of engineers (regarding the fairness constraints that should frame the training and validation of AI systems); that of regulators (regarding AI-specific regulatory frameworks that integrate fairness into their design) and that of courts (regarding the rights and procedures that allow the achieving of fair outcomes in disputes involving AI systems).
Disciplines :
European & international law Law, criminology & political science: Multidisciplinary, general & others
Author, co-author :
De Cooman, Jérôme ; Université de Liège - ULiège > Cité ; Université de Liège - ULiège > Département de droit
