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.

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molestiae ipsa enim

831 citations of this metric
Voluptatum quidem nam sit fugiat aliquam perspiciatis possimus deleniti. Qui rem id doloribus. Inventore vitae debitis nesciunt error suscipit inventore soluta quis et. Sint eum praesentium aut corrupti.

References

Rem qui eum minus velit omnis dignissimos. At voluptatum aliquid et non aut. Quia nulla autem soluta natus consequatur explicabo. Quasi praesentium ut illo ut accusamus aperiam facilis aut dicta.

Related use cases :

ducimus ea pariatur

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Aut animi occaecati temporibus. Quia et ad eveniet excepturi ut. Ut aut temporibus odit illo similique qui. Consequatur repellendus ut commodi. Aperiam quasi ea aliquid iste non. E...

About the metric

You can click on the links to see the associated metrics

Metric type(s):

Objective(s):

Purpose(s):

Lifecycle stage(s):

Usage rights:

Target users:

Risk management stage(s):

Github stars:

  • 841

Github forks:

  • 482

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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.