Egalitarian Machine Learning

Res Publica 29 (2):237–264 (2023)
  Copy   BIBTEX


Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian considerations. We explore a few fairness measures to suss out their egalitarian roots and evaluate them, both as formalizations of egalitarian ideas and as assertions of what fairness demands of predictive systems. We pay special attention to a recent and popular fairness measure, counterfactual fairness, which holds that a prediction about an individual is fair if it is the same in the actual world and any counterfactual world where the individual belongs to a different demographic group (cf. Kusner et al. (2018)).

Similar books and articles

Negligent Algorithmic Discrimination.Andrés Páez - 2021 - Law and Contemporary Problems 84 (3):19-33.
On algorithmic fairness in medical practice.Thomas Grote & Geoff Keeling - 2022 - Cambridge Quarterly of Healthcare Ethics 31 (1):83-94.
Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
Non-empirical problems in fair machine learning.Teresa Scantamburlo - 2021 - Ethics and Information Technology 23 (4):703-712.


Added to PP

493 (#39,890)

6 months
203 (#13,923)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Clinton Castro
University of Wisconsin, Madison
David O'Brien
Harvard University
Ben Schwan
Case Western Reserve University

References found in this work

On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.
Sovereign Virtue: The Theory and Practice of Equality.R. M. Dworkin - 2002 - Philosophical Quarterly 52 (208):377-389.
Rescuing Justice and Equality.G. A. Cohen - 2008 - Harvard University Press.
Health, Luck, and Justice.Shlomi Segall - 2009 - Princeton University Press.

View all 15 references / Add more references