GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits
Causal discovery recovers directed structure from observational data and is increasingly used in clinical settings to support mechanism reasoning and fairness audits of predictive models. Path-specific counterfactual fairness asks whether a protected attribute influences an outcome through illegitimate pathways, but these estimands are defined relative to a supplied causal graph and therefore inherit whatever errors the discovery step introduces. Discovery methods are routinely scored on aggrega
Record details
Published: 3 August 2026
Source: arXiv fairness query
Category: Research
Topics: Bias & fairness · Healthcare · Transparency
Retrieved: 5 August 2026
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How to cite this record
ethics.ai (3 August 2026), “GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits,” evidence record 16558, https://ethics.ai/record/16558 (originally published by arXiv fairness query).
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