These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
System to Integrate Fairness Transparently (SIFT): An Industry Approach
An operational framework to identify and mitigate bias at different stages of an industry ML project workflow. SIFT enables an industrial ML team to define, document, and maintain their project’s bias history. SIFT guides a team via mechanized and human components to monitor fairness issues in all parts of a project’s workflow. Longitudinally, SIFT lowers the cost for dealing with fairness through reuse of techniques and past lessons.
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