Fairness measurement library for automated employment decision tools, with audits of components from U.S. Patent No. 12,265,502 B1.
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Updated
May 23, 2026 - Python
Fairness measurement library for automated employment decision tools, with audits of components from U.S. Patent No. 12,265,502 B1.
Foundation Model for Medicine — fairness/bias evaluation CLI for medical AI (research)
A full-stack SaaS-grade web app where teams upload a dataset + trained model (or plug in an API endpoint) and receive a comprehensive, interactive fairness audit report. Built to be genuinely enterprise-usable, not a toy.
A comprehensive CPU scheduling algorithm simulator built in C++ with Qt GUI support. This project implements and compares 10 different scheduling policies commonly used in operating systems.
LegalTech bias coverage Evidence Bundle: jury selection (Batson), sentencing (post-COMPAS), immigration triage, public defender caseload, eDiscovery TAR. Anchored to Title VI + Sixth Amendment + Batson + ABA Criminal Justice Standards. 8 subgroups × 11 coverage statuses incl LegalTech-unique compas-cautionary + batson-pattern flags.
Machine learning project analyzing bias and fairness in loan approval predictions using metrics like disparate impact and error disparity.
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)
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