Counterfactual Fairness Is Not Demographic Parity, and Other Observations
arXiv:2402.02663v14 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis
This clarifies foundational concepts in fairness for ML researchers, though it is incremental as it critiques existing claims.
The paper refutes a recent claim that counterfactual fairness is equivalent to demographic parity, showing it fails upon closer examination, and addresses broader misunderstandings about counterfactual fairness.
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.