Data for Causal Mediation Analysis
收藏Zenodo2025-07-23 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.16359241
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资源简介：
This dataset was generated to support causal and mediation-based fairness analysis in hiring decisions, inspired by the framework presented in Binkytė et al., 2022, arXiv:2207.04053. It simulates a binary hiring outcome Y based on a sensitive attribute A (Political Belief), two mediators M1 , M2 (Community Service, Address), and a confounder C (Socio-Economic Status). The data is designed to allow for decomposing direct and indirect discrimination pathways.
The accompanying GitHub Repository contains the full code for dataset generation and detailed analysis, including:
Construction of a causal graph
Evaluation of statistical parity and causal fairness metrics
Mediation analysis via counterfactual modeling
Use Cases: This dataset can be used to evaluate fairness-aware algorithms, study mediation effects, or demonstrate causal inference techniques in a controlled, interpretable environment.
Keywords: fairness, causality, mediation analysis, synthetic data, AI ethics
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Zenodo创建时间：
2025-07-23
