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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 work item describes the challenges of securing AI-based systems and solutions, including challenges relating to data, algorithms and models…
Published
Last Updated: 18 Jul 2024

Standards in development

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: 14 Apr 2025
This document describes the principles and framework for environmental impact measurement of artificial intelligence systems and services and provides guidelines for impact reduction throughout the lifecycle. It includes a framework for defining the environmental impact of artificial intelligence, aharmonized calculation…
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Standards Body: CEN
Last updated: 14 Apr 2025
1.1 This practice considers impairments of communications within an automatic, automated, or autonomous unmanned ground vehicle (AĀ­UGV) system during task execution. An A-UGV system typically uses communications between an A-UGV and fixed system components and resources, such as off-board control,…
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Standards Body: ASTM International
Last updated: 14 Apr 2025