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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

This document describes and analyses a comprehensive set of high-level scenarios of how smart cities can best respond to public health emergencies, and strengthen their “Urban Immune System”, using evidence from as many countries as possible. It covers use cases…
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Draft
Standards Body: DS Dansk Standard
Last updated: 27 Apr 2026
This document specifies general principles for the application of artificial intelligence in the medical laboratory.This document is applicable to methods commonly considered subsets of artificial intelligence, including fuzzy logic, Bayesian networks, supervised and unsupervised machine learning, deep learning, neural networks,…
Domain:
Healthcare and medicine - Medical imaging
Scope:
AI-specific
Topic:
Accuracy and performanceRisk managementSystem lifecycle
Type of Standard:
Process, management and governance
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Draft
Standards Body: DS Dansk Standard
Last updated: 27 Apr 2026
This present document will provide an understanding of the harm from Generative AI along with presenting the different ways to prevent that harm. This includes but is not limited to malicious code generation, deepfakes, spam messages, disinformation etc. The areas…
Domain:
Horizontal
Scope:
AI-specifc
Topic:
RobustnessSafetySecurity and resilience
Type of Standard:
Foundational and terminology
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Published
Standards Body: ETSI European Telecommunications Standards Institute
Last updated: 27 Apr 2026