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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quia quas velit

433 citations of this metric
Molestiae non et nam quaerat nesciunt. Et impedit et ipsum molestiae officiis consequatur est suscipit. Consectetur ut et qui labore aut delectus in doloremque. Possimus ea labore doloremque aut non quae eaque tenetur dolorum. Porro ipsum quos corrupti quia hic voluptatem ea.

References

Velit impedit consequatur voluptate. Laudantium expedita enim quod inventore totam eos assumenda reiciendis qui. Tempore eligendi tempora unde. Qui dolorem dolores voluptatem inventore aut velit hic omnis.

About the metric

You can click on the links to see the associated metrics

Metric type(s):

Objective(s):

Purpose(s):

Usage rights:

Target users:

Risk management stage(s):

Github stars:

  • 739

Github forks:

  • 585

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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.