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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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The new AI Standards Hub – what, how and why

This blog post provides detail on what the AI Standards Hub is, how we built it, and why we hope you will join the Hub’s journey

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Forums

Events

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Published standards

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Standards in development

This standard defines a framework including requirements and evaluation methods for a two-dimensional (2D) real-person digital clothes model generation system using artificial intelligence (AI). In the standard, the framework includes functional modules and the input/output interfaces of the 2D real-person…
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This British Standard specifies requirements for the development of safe, effective, and ethical healthcare AI products. This British Standard specifies requirements for evaluation criteria, including: clinical benefits; standards of performance;successful and safe integration into the clinical work environment; ethical considerations;…
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Standards Body: BSI
Last updated: 11 Jun 2025
This document is a guide and record of the development for the NIST (National Institute of Standards and Technology) glossary of terms for trustworthy and responsible artificial intelligence (AI) and machine learning (ML). The glossary effort seeks to promote a…
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Published
Standards Body: NIST
Last updated: 11 Jun 2025