Keywords
Automated decision-making
Fairness
Machine Learning
Fairness
Machine Learning
How to Cite
De Pin, L. (2026). S. Barocas, M. Hardt and A. Narayanan. Fairness and Machine Learning: Limitations and Opportunities. MIT Press, 2023. The Reasoner, 20(1). https://doi.org/10.54103/1757-0522/29851
Funding data
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NextGenerationEU
Grant numbers H97G22000210007
Abstract
This review discusses Fairness and Machine Learning by Barocas, Hardt, and Narayanan, highlighting its
comprehensive and interdisciplinary treatment of fairness in algorithmic decision-making. The book is
accessible, open access, and enriched by insights from ethics, law, and the social sciences.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright (c) 2026 Leonardo De Pin
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