This toolkit outlines a structured approach that covers everything from initial risk assessment to ongoing monitoring, providing actionable steps for each phase. It emphasizes the importance of a multi-disciplinary team and offers a range of methods to identify and rectify bias, including data audits, stakeholder engagement, and both internal and external evaluations.
Toolkit for Addressing Algorithmic Bias
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