Catalogue of Tools & Metrics for Trustworthy AI

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



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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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.