Open zepor opened 2 months ago
○ Time: 1 week ○ Tools Required: Fairlearn, AI Fairness 360 (within Azure) ○ Steps: 1. Analyze audit findings to identify bias patterns. 2. Develop mitigation strategies to address identified biases. 3. Implement corrective measures in models and processes. 4. Document strategies and measures taken. ○ Documentation: § Mitigation strategy documents. § Example corrective measures implemented. ○ Major Milestone: Mitigation strategies and corrective measures implemented. ○ GitHub Issue:
Description: Develop and implement mitigation strategies and corrective measures for identified biases in NFL data/models. Tasks:
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Develop Mitigation Strategies for Biases
Description: Develop and implement mitigation strategies and corrective measures for identified biases in NFL data/models. Tasks: