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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

Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional framework, functional requirements, and typical scenarios of log analysis in telecom management with AI. This Recommendation gives examples of some…
Domain:
Telecom and network-based services
Scope:
AI-specific
Topic:
Documentation
Type of Standard:
Process, management and governance
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0 replies
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Published
Standards Body: ITU
Last updated: 31 Oct 2024
This work item aims to specify a security framework of AI computing platform containing hardware and basic software to protect valuable assets like models and data deployed on AI computing platform when they are used in runtime or stored at…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Security and resilience
Type of Standard:
Foundational and terminologyProcess, management and governance
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0 replies
0 followers
Published
Standards Body: ETSI
Last updated: 31 Oct 2024
Supplement 72 to ITU-T Y-series Recommendations provides the standardization roadmap for artificial intelligence (AI) in the field of information and communication technology (ICT). This AI standardization roadmap has been developed to assist in the development of AI related standards in…
Domain:
Horizontal
Scope:
AI-specific
Type of Standard:
Foundational and terminology
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0 replies
0 followers
Published
Standards Body: ITU
Last updated: 31 Oct 2024