Fairness Auditing
by AaaS · open-source · Last verified 2026-03-17
Teaches systematic evaluation of ML models for demographic disparities across protected attributes using established fairness metrics (demographic parity, equalized odds, calibration). Covers AIF360, Fairlearn, bias mitigation strategies, and producing audit-ready fairness reports for regulatory submissions.
https://aaas.blog/skill/fairness-auditing ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- demographic-parity-analysis, equalized-odds-measurement, bias-mitigation, disparate-impact-testing, audit-report-generation
- Integrations
- aif360, fairlearn, shap, interpret-ml
- Use Cases
- hiring-algorithm-audit, credit-scoring-compliance, healthcare-ai-review, criminal-justice-risk
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- feature-attribution
- Supported Agents
- compliance-agent
- Tags
- fairness, bias, xai, aif360, responsible-ai, audit
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
56.7Adoption
60
Quality
86
Freshness
82
Citations
62
Engagement
0