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.
Calegari R., Aler A., Gabriel T., Castane G., Dignum V., Milano M. (2023). Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023. Aachen : Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH).
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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