Safety vulnerability ID: 45267
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Responsibly 0.0.3 pins its dependency 'requests' to versions >=2.20.0 to include security fixes.
Latest version: 0.1.3
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
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- Fairness in Classification
- Three demographic fairness criteria
- Independence
- Separation
- Sufficiency
- Equalized odds post-processing algorithmic interventions
- Complete two notebook demos (FICO and COMPAS)
- Word embedding bias
- Measuring bias with WEAT method
- Documentation improvements
- Fixing security issues with dependencies
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