Fairness and machine learning : limitations and opportunities
By: Barocas, Solon.
Contributor(s): Hardt, Moritz | Narayanan, Arvind.
Material type:
BookPublisher: London : MIT Press, 2023Description: xiv, 323 p. ; ill., 24 cm.ISBN: 9780262048613.Subject(s): Causality | Relative notions | Classification | Anti-discrimination law | Testing discrimination | Automation Human factors | Decision making moral | Discrimination law and legislation | Ethical aspects | United States antidiscrimination law | Machine learning | Artificial Intelligence | Data science | Social aspects | DiscriminationDDC classification: 174.900631 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 decision making.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 174.900631 BAR (Browse shelf) | Checked out | 23/07/2024 | 034926 |
Includes bibliographical references and index.
This book offers a critical view on the current practice of machine learning, as well as proposed technical fixes for achieving fairness in automated decision making.
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