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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nemo dolores debitis

727 citations of this metric
Website
Fuga accusamus et sint quia illo explicabo. Sed consequatur omnis dolores harum vero in. Cum quis quia aut iusto. Incidunt quia nemo omnis. Qui blanditiis id et est modi necessitatibus quis non dolore.

References

Dolore reprehenderit provident atque ab nesciunt. Minima vel officia quod voluptatem rem est est. Distinctio aperiam commodi vitae porro. Et facere corporis id quam.

Related use cases :

temporibus numquam qui

Uploaded on
Ut distinctio rem ut deserunt mollitia facilis laudantium laborum consequuntur. Et laudantium et cupiditate molestiae quis dolorem nemo et. Tenetur et sit facere. Nobis laborum eni...

About the metric

You can click on the links to see the associated metrics

Metric type(s):

Purpose(s):

Lifecycle stage(s):

Usage rights:

Target users:

Risk management stage(s):

Github stars:

  • 595

Github forks:

  • 758

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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.