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Trustworthy AI

Here are topics relevant to designing, developing and deploying AI systems that are trustworthy. This thematic overview will cover the characteristics of trustworthy AI systems and other governance measures to ensure that AI is built responsibly.

Highlights

Watch the recording of the Introduction to Trustworthy AI from the Hub’s launch event, go the forums to discuss what trustworthy AI means and see ISO’s 2020 standard on trustworthiness in AI systems.

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Published standards

This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…
Published
Last Updated: 18 Jul 2024

Standards in development

This Recommendation defines the roles, technical and security requirements of a shared machine learning system, and provides technical architectures, functional components, and processing procedures of the shared machine learning system in the centralized and decentralized modes. Ā© ITU 2022 All…
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Published
Standards Body: ITU
Last updated: 18 Jul 2024
What is ISO/IEC 25023 – SQuaRE ā€” Measurement of system and software product quality about? ISO/IEC 25023 defines quality measures for quantitatively evaluating system and software product quality in terms of characteristics and sub characteristics defined in ISO/IEC 25010 and…
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Published
Standards Body: ISO/IEC, BSI
Last updated: 18 Jul 2024
1Ā Ā Ā ā€‹Scope This document defines the quality model of cloud services. The quality model of cloud services is composed of nine characteristics (some of which are further subdivided into subcharacteristics), which provide consistent terminology for specifying, measuring and evaluating cloud services…
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Published
Standards Body: ISO/IEC, BSI
Last updated: 18 Jul 2024