AI Fairness 360 (AIF360)
VerifiedIBM's open-source toolkit with 70+ fairness metrics and 10 bias mitigation algorithms for machine learning models throughout the AI lifecycle.
Frameworks Covered
NIST-AI-RMFISO-42001
Services
bias-auditfairness-metricsbias-mitigationdataset-analysis
About AI Fairness 360
AI Fairness 360 (AIF360) is an extensible open-source library by IBM Research containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. Available in both Python and R.
Services
- 70+ fairness metrics for datasets and models
- 10 bias mitigation algorithms (pre-processing, in-processing, post-processing)
- Bias detectors for subgroup identification
- Scikit-learn-compatible API
- Jupyter notebook examples
Frameworks Covered
- NIST AI RMF (fairness assessment)
- ISO/IEC 42001 (AI management system bias controls)
Installation
pip install aif360
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