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.

AI Trust Standard & Label



AI Trust Standard & Label

The AI Trust Standard & Label describes the characteristics of an AI product with regards to: Transparency, Accountability, Privacy, Fairness and Reliability.

This tool provides a way to describe ethically relevant characteristics of AI systems in a testable and enforceable way, with a focus on transparency, fairness, accountability, privacy and robustness. It is formulated as a VDESPEC standard that defines a tree structure of criteria, indicators and observables for each top-level characteristic. It is not a yes/no checklist but rather provides a spectrum of values for each indicator as well as a way to weight and aggregate them. The end result is an A-G rating of the product for each of the top-level characteristics, deliberately reminiscient of the energy efficiency label already known to consumers and businesses.

The tool is designed to be compatible with the upcoming EU AI Act and one of the inputs into the development of harmonised standards supporting the Act. It can be used in the context of both self-declaration and third-party certification.

Based on earlier research work, the tool was created in 2021/22 by a consortium including companies (Bosch, Siemens, SAP, BASF, TÜV Süd), several university institutes and civil society experts.

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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.