Counterfactual Fairness Is Not Demographic Parity, and Other Observations
Not on the map. Why?
Abstract (arXiv)
Blanket statements of equivalence between causal concepts and purely probabilistic concepts should be approached with care. In this short note, I examine a recent claim that counterfactual fairness is equivalent to demographic parity. The claim fails to hold up upon closer examination. I will take the opportunity to address some broader misunderstandings about counterfactual fairness.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 12 of its 27 references that are in the map. First posted on arXiv 5 Feb 2024.
Builds on
12 of 27 references.
References · 12
- 2016Equality of Opportunity in Supervised Learningcited by 2,005
- 2017Counterfactual Fairnesscited by 804
- 2018Path-Specific Counterfactual Fairnesscited by 180
- 2020Conformal Inference of Counterfactuals and Individual Treatment Effectscited by 150
- 2017Fair Inference On Outcomescited by 144
- 2019PC-Fairness: A Unified Framework for Measuring Causality-based Fairnesscited by 67
- 2018Causal Reasoning for Algorithmic Fairnesscited by 51
- 2022Stochastic Causal Programming for Bounding Treatment Effectscited by 25
- 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairnesscited by 17
- 2022Selection, Ignorability and Challenges With Causal Fairnesscited by 16
- 2022Counterfactual Fairness Is Basically Demographic Paritycited by 15
- 2023Pragmatic Fairness: Developing Policies with Outcome Disparity Controlcited by 1
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.