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.

VDE-AR-E 2842-61-6 - Development and trustworthiness of autonomous/cognitive systems - Part 61-6: After release of the solution



This VDE applikation guide "Development and Trustworthiness of autonomous / cognitive Systems - Part 6: After Release of the Solution" specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e. g. production, marketing & sales, operation & maintenance, retirement & repair). It defines a reference lifecycle in analogy to the most important standards for functional safety (i. e. IEC 61508) as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence. The VDE-Anwendungsregel is written in English. © VDE VERLAG GmbH, Berlin - Offenbach

The information about this standard has been compiled by the AI Standards Hub, an initiative dedicated to knowledge sharing, capacity building, research, and international collaboration in the field of AI standards. You can find more information and interactive community features related to this standard by visiting the Hub’s AI standards database here. To access the standard directly, please visit the developing organisation’s website.

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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.