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.

The Fréchet inception distance (FID) typically measures the quality of image generative models. More specifically, FID is a semimetric commonly applied to generative models based on generative adversarial networks (GANs), which was among the first generative modeling approaches to find success generating images.

FID can be loosely connected to Robustness, as a model that consistently produces low FID scores across various conditions may be considered more reliable and resilient in generating high-quality outputs. However, this connection is indirect, since FID does not explicitly measure robustness to adversarial conditions or failures, but rather the similarity of generated images to real ones.

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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.