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.

 

 

NME connects to Robustness by providing a quantitative measure of model accuracy, which is a component of reliable system performance. Consistently low NME values suggest the system is performing as expected in its intended domain, contributing to robustness. However, NME does not directly measure resilience to adversarial conditions or failures, so its support for this objective is limited.Normalized Mean Error (NME) is one of the most popular evaluation metrics in facial landmark detection benchmark.

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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.