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 2842-61-2 - Development and trustworthiness of autonomous/cognitive systems - Part 61-2: Management



This VDE application guide "Development and Trustworthiness of autonomous / cognitive Systems - Part 2: Management" describes the requirements for the management in order to ensure and support a structured approach to the development of a trustworthy autonomous cognitive system. This entails guidance (e.g. process, procedures synchronized with the overall process), supporting means (e.g. methods, templates) as well as resource planning and activity tracking to ensure the right performance of the system. The obligation is split into three parts: the management on company level, the management during the project and the management after release. VDE-AR-E 2842-61-2 is part of an overall reference lifecycle 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. This VDE applikation guide 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.