Depth-tracked regulatory audit primitives for privacy-preserving AI audits with signed envelopes and TenSEAL CKKS support.

Practical playbooks for AI/ML teams to detect and correct bias, assessment, root cause analysis, fairness metrics, and pre/in/post-processing interventions. Covers classical ML with EU AI Act, GDPR, ECOA, and HIPAA references.

ML model that flags DonorsChoose classroom projects at highest risk of going unfunded, with a fairness audit across school poverty levels.

AI governance audit system for healthcare decision models. Evaluates fairness (DPD/EOD), calibration, and robustness with NIST AI RMF-aligned reporting.

Reproducible code and aggregate outputs for capacity-constrained ranking of conditional academic underperformance using CEPS data. CEPS microdata are not included.

Fair Bench: a platform for facial-recognition fairness auditing, regulatory evaluation, and bilingual compliance reporting.

Fairness audit of Detoxify's toxicity classifier on Civil Comments quantifying demographic bias via FPR disparity, subgroup AUC, counterfactual analysis, and intersectionality, with threshold-optimization mitigation

Predictive Modelling for Personalised Long COVID Risk Assessment | MSc Data Analytics, DCU | Calibrated LR · SHAP · Fairness Audit · Streamlit