Regularly Audit NFL Data/Models for Biases:

[zepor]

    ○ Time: 2 weeks
    ○ Tools Required: Fairlearn, AI Fairness 360 (within Azure)
    ○ Steps:
        1. Set up and configure Fairlearn and AI Fairness 360 for auditing.
            □ Ensure the tools are integrated with existing models and datasets.
        2. Perform regular audits on NFL data and models to identify potential biases.
        3. Document findings and share with the relevant stakeholders.
    ○ Documentation:
        § Detailed audit reports.
        § Configuration guides for Fairlearn and AI Fairness 360.
    ○ Major Milestone: Regular audits for biases implemented.

GitHub Issue:

Conduct Bias and Fairness Audits

Description: Use Fairlearn and AI Fairness 360 to regularly audit NFL data and models for biases. Tasks:

• Set up and configure Fairlearn and AI Fairness 360.
• Regularly audit NFL data and models.
• Document findings and share with stakeholders. Milestone: Regular audits for biases implemented

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