Solon Barocas, Moritz Hardt

Fairness and Machine Learning

Limitations and Opportunities

• Gebundenes Buch

Produktbeschreibung

"This book offers a critical view on the current practice of machine learning, as well as proposed technical fixes for achieving fairness in automated decisionmaking"--

Produktdetails

• Verlag: MIT Press Ltd
• Seitenzahl: 320
• Erscheinungstermin: 19. Dezember 2023
• Englisch
• Abmessung: 236mm x 185mm x 30mm
• Gewicht: 790g
• ISBN-13: 9780262048613
• ISBN-10: 0262048612
• Artikelnr.: 68431398

Autorenporträt

Solon Barocas, Moritz Hardt, and Arvind Narayanan

Inhaltsangabe

Preface ix
Online Materials xiv
Acknowledgments xv
1 Introduction 1
2 When Is Automated Decision Making Legitimate? 25
3 Classification 49
4 Relative Notions of Fairness 83
5 Causality 113
6 Understanding United States Antidiscrimination Law 151
7 Testing Discrimination in Practice 185
8 A Broader View of Discrimination 221
9 Datasets 251
References 285
Index 311