A Python package to assess and improve fairness of machine learning models.
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Updated
Oct 18, 2026 - Python
A Python package to assess and improve fairness of machine learning models.
Algorithmic inspection for trustworthy ML models
This hosts the code and appendix of the RecSys 2025 short paper "Stairway to Fairness: Connecting Group and Individual Fairness"
Group fairness auditing methods for set selections. Corresponding to paper "FINS Auditing Framework: Group Fairness for Subset Selections" AAAI/ACM AIES 2022
Code for "Maximin Relative Improvement: Fair Learning as a Bargaining Problem" (ICML 2026): group fairness as cooperative bargaining, the Kalai-Smorodinsky solution, and comparisons with Group DRO and minimax regret.
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