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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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Forums

Events

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Published standards

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Standards in development

1.1 This practice considers impairments of communications within an automatic, automated, or autonomous unmanned ground vehicle (A­UGV) 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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AI-specific
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Published
Standards Body: ASTM
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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Horizontal
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AI-specific
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Published
Standards Body: NIST
Last updated: 11 Jun 2025
The purpose of this standard is to define elements to improve transparency in the identification of the agency behind media or communications, such as a machine intelligence, a human being, or a combination of entities. The goal is to facilitate…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Explainability and transparency
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Published
Standards Body: IEEE
Last updated: 11 Jun 2025