The 1st edition of the conference featured 12 presentations of high-quality papers. Accepted contributions ranged from foundational and theoretical results to practical experiences, case studies, and applications, and they covered a wide range of topics in the scope of technical, social and legal aspects of fairness and bias in AI.
Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023 / Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M.. - ELETTRONICO. - (2023), pp. 1-2.
Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023
Calegari R.;Milano M.
2023
Abstract
The 1st edition of the conference featured 12 presentations of high-quality papers. Accepted contributions ranged from foundational and theoretical results to practical experiences, case studies, and applications, and they covered a wide range of topics in the scope of technical, social and legal aspects of fairness and bias in AI.File in questo prodotto:
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