AI Fairness 360
An open-source library of fairness metrics and bias mitigation algorithms for datasets and ML models.
The AI Fairness 360 (AIF360) toolkit is an open-source library that helps detect and mitigate bias in machine learning models through the AI application lifecycle. It includes a set of metrics to test datasets and models for bias, explanations for these metrics, and algorithms to mitigate bias in datasets and models. The project names finance, human capital management, healthcare and education as target domains. It is available for Python and R. The repository is under the Apache 2.0 licence.
- Price
- Free, open source (Apache 2.0)
- Model
- free
- Platforms
- Python, R
- Category
- Bias and fairness testing
- Link checked
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