Ecosyste.ms: Awesome
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awesome-ai-fairness
Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers and policymakers alike.
https://github.com/emergingtechpolicy/awesome-ai-fairness
- IBM's AI Fairness 360
- Fairness Measures
- FairML
- Fairtest
- Aequitas
- Themis
- Themis-ML
- Fairness Comparison
- “Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees”
- “Mitigating Unwanted Biases with Adversarial Learning”
- “A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices”
- “Optimized Pre-Processing for Discrimination Prevention”
- “On Fairness and Calibration”
- “Equality of Opportunity in Supervised Learning”
- “Certifying and Removing Disparate Impact”
- “Learning Fair Representations”
- “Data Preprocessing Techniques for Classification without Discrimination”
- “Decision Theory for Discrimination-Aware Classification”
- “Fairness-Aware Classifier with Prejudice Remover Regularizer”
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