Proposes a regulatory system for ensuring that AI makes fair decisions, based on a detailed analysis of human approaches to decision fairness and how far AI developers can match them.
Proposes a regulatory system for ensuring that AI makes fair decisions, based on a detailed analysis of human approaches to decision fairness and how far AI developers can match them.
Chris Reed is Professor of Electronic Commerce Law at the Centre for Commercial Law Studies, Queen Mary University of London, UK, where he was formerly Director of the Centre and subsequently Academic Dean of the Faculty of Law & Social Science. Chris has worked exclusively in the computing and technology law field since 1987. He has published widely on many aspects of computer law; his latest books are Rethinking the Jurisprudence of Cyberspace (with Andrew Murray, 2018) and Making Laws for Cyberspace (2012). Research with which he was involved led to the EU directives on electronic signatures and on electronic commerce. The Leverhulme Foundation awarded him a Major Research Fellowship for 2009-2011.
Inhaltsangabe
1. Introduction 2. Do We Need Fair AI? 3. Society's Conception of Fairness 4. Theoretical Insights from Philosophy and Economics 5. Law's Conception of Fairness 6. The Human Conception of Fairness 7. AI Fairness Techniques 8. A Regulatory Framework for AI Fairness 9. Beyond Fairness
1. Introduction 2. Do We Need Fair AI? 3. Society's Conception of Fairness 4. Theoretical Insights from Philosophy and Economics 5. Law's Conception of Fairness 6. The Human Conception of Fairness 7. AI Fairness Techniques 8. A Regulatory Framework for AI Fairness 9. Beyond Fairness
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