Fairness and machine learning : limitations and opportunities / Solon Barocas, Moritz Hardt, Arvind Narayanan.
By: Barocas, Solon [author.].
Contributor(s): Hardt, Moritz [author.] | Narayanan, Arvind [author.].
Material type:
BookPublisher: Cambridge, Massachusetts : The MIT Press, [2023]Description: pages cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262048613.Subject(s): Machine learning -- Moral and ethical aspects -- United States | Decision making -- Moral and ethical aspects -- United States | Automation -- Human factors -- United States | Discrimination -- Law and legislation -- United StatesDDC classification: 174/.900631
Contents:
Summary: "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"-- Provided by publisher.
When is automated decision making legitimate? -- Classification -- Relative notions of fairness -- Causality -- Understanding United States anti-discrimination law -- Testing discrimination in practice -- A broader view of discrimination -- Datasets.
| Item type | Current location | Call number | Copy number | Status | Date due |
|---|---|---|---|---|---|
Monograph
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Indian Institute of Management Udaipur On Display | 174.900631 (Browse shelf) | 1 | Available |
"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"-- Provided by publisher.
Includes bibliographical references and index.
When is automated decision making legitimate? -- Classification -- Relative notions of fairness -- Causality -- Understanding United States anti-discrimination law -- Testing discrimination in practice -- A broader view of discrimination -- Datasets.
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