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.

Fairness Compass



Fairness Compass

Biased AI can have a negative impact on society. Fortunately, plenty of mitigation methods have been proposed to counter this effect. However, since there is no universal definition of fairness, and many notions are in conflict with each other, choosing the right fairness objective is essential for successful implementation of fair AI. The Fairness Compass makes this task an operational and transparent process.

Show case for example in Implementing the OECD AI Principles: Challenges and Best Practices.

Use Cases

Human resource management

Human resource management

A sample scenario in the context of human resource management illustrates the functioning of the Fairness Compass. The sensitive subgroups considered in this example are men and women. The question of interest is which definition of fairness would be...
Jun 21, 2023

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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.