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ml-fairness

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Synthetic-Fairness-Faces

Official codebase for the paper "Synthetic Data for Fairness: Bias Mitigation in Facial Attribute Recognition" (IEEE, 2025). Includes an automated pipeline for generating, labeling, and evaluating synthetic facial datasets under demographic control using SD/GAN + fairness metrics.

  • Updated Dec 15, 2025
  • Python

Open source React app (and standalone HTML & Excel versions (Excel cannot perform Fisher's Exact)) for testing AI systems for bias and disparate impact using the Anthropic Claude API. Fisher's Exact, Chi-Square, and Z-test. Based on NIST AI RMF 1.0, NIST SP 1270, EEOC Technical Assistance on AI and Title VII (May 2023)

  • Updated Jun 8, 2026
  • JavaScript

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