S. Barocas, M. Hardt and A. Narayanan. Fairness and Machine Learning: Limitations and Opportunities. MIT Press, 2023
Abstract
This review discusses Fairness and Machine Learning by Barocas, Hardt, and Narayanan, highlighting itscomprehensive and interdisciplinary treatment of fairness in algorithmic decision-making. The book isaccessible, open access, and enriched by insights from ethics, law, and the social sciences.
Fields of Study & Subjects
Ethics and Social Impacts of AI
COVID-19 Digital Contact Tracing
Digital Economy and Work Transformation
Publication details
- Journal / source
- The reasoner
- Publisher
- Milano University Press
- Volume
- 20
- Issue
- 1
- Publication date
- 23 February 2026
- Language
- EN