Fairness and machine learning : limitations and opportunities
著者
書誌事項
Fairness and machine learning : limitations and opportunities
The MIT Press, c2023
- : hardcover
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注記
Includes bibliographical references (p. [285]-309) and index
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
収録内容
- 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
