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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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Events

Published standards

ISO/IEC 5394:2024 ISO/IEC JTC 1/SC 42 N 649, ISO/IEC NP 5394

Information technology — Criteria for concept systems

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HorizontalAI-enablingBias and discriminationExplainability and transparency
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This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an artificial intelligence management system…
Published
Last Updated: 18 Jul 2024

Standards in development

Domain:
Horizontal
Scope:
AI-specific
Topic:
Sustainability
Type of Standard:
Measurement and test methodsProcess, management and governance
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0 replies
2 followers
Pre-draft
Standards Body: CEN, CENELEC
Last updated: 31 Oct 2024
This is an adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI)–Technical Specification Neural Network Watermarking as an IEEE Standard. The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1)…
Domain:
Media, arts, entertainment and publishing
Scope:
AI-specific
Topic:
Data processing
Type of Standard:
Measurement and test methods
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0 replies
0 followers
Published
Standards Body: IEEE
Last updated: 31 Oct 2024
Published
Standards Body: ITU
Last updated: 31 Oct 2024