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.

Submit a metric to the Catalogue of Tools & Metrics for Trustworthy AI

A metric aims to leverage a tool for trustworthy AI to achieve a specific goal in a specific context (e.g. using transparency tools for fraud prevention, bias-mitigation tools for disease detection, etc.)

A description that provides an overview of the use case (maximum 1000 words). Feel free to include images, graphs and charts to illustrate the use case as needed.

Metric resource and links

At least one of the following fields is required: Link to the metric's website, Github repository of the metric, Hugging Face repository, or the main reference.

More information about the metric


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Disclosures for contributors

After you click on 'Submit', the OECD Secretariat will review your submission. 

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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.