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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

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Standards in development

Functional architecture of artificial intelligence-enabled collaborative services across device, edge and cloud environments for the Internet of things and smart cities © International Telecommunication Union 2025
Scope:
AI-specific
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Published
Standards Body: ITU
Last updated: 2 Mar 2026
Road vehicles — Parking system for autonomous driving vehicles — General requirements and use-cases definition © Korean Agency for Technology and Standards 2025
Domain:
Horizontal
Scope:
AI-specific
Topic:
Accuracy and performance
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Published
Standards Body: KATS Korean Agency for Technology and Standards
Last updated: 2 Mar 2026
Machine Learning Algorithms: Dataset Management Best Practices in Medical Imaging © National Electrical Manufacturers Association 2025
Scope:
AI-specific
Topic:
Data management; Data quality
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Published
Standards Body: NEMA
Last updated: 2 Mar 2026