S. Barocas, M. Hardt and A. Narayanan. Fairness and Machine Learning: Limitations and Opportunities. MIT Press, 2023

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.

Authors

Leonardo De Pin

Institutions

University of Salento (IT)

Publication Details

Journal: The reasoner
Published: 2026-02-23
DOI: https://doi.org/10.54103/1757-0522/29851
Primary Topic: Ethics and Social Impacts of AI
Type: article
Field-Weighted Citation Impact: 0.00

Funders

European Commission

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article

S. Barocas, M. Hardt and A. Narayanan. Fairness and Machine Learning: Limitations and Opportunities. MIT Press, 2023

Leonardo De Pin

Feb 23, 2026

The reasoner

Ethics and Social Impacts of AI

article

S. Barocas, M. Hardt and A. Narayanan. Fairness and Machine Learning: Limitations and Opportunities. MIT Press, 2023

Leonardo De Pin

February 23, 2026article en

Abstract

The reasonerVol. 20(1)

University of Salento (IT)

European Commission

Peace, Justice and strong institutions

Openalex Percentile: Top 49%

Ethics and Social Impacts of AI

DOI Open Access PDF OpenAlex

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