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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

AI RMF

NIST Artifical Intelligence Risk Management Framework

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HorizontalAI-specificAccountabilityBias and discrimination
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In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
Published
Last Updated: 13 Jun 2025

Standards in development

This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative pretrained AI models. The framework encompasses requirements concerning security risks, functional and non-functional requirements, and evaluation metrics such as transparency,…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Security and resilience
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This recommended practice follows a safety by design approach by providing recommendations for developing, deploying, and maintaining generative artificial intelligence models with adequate safeguards against child sexual abuse. The document provides a framework that expands child safety to the entire…
Scope:
AI-specific
Topic:
Safety
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This standard specifies a domain-specific architecture for Large Language Models (LLMs) Management Platforms that includes: functional, service, and deployment requirements. © Copyright 2024 IEEE – All rights reserved.
Domain:
Horizontal
Scope:
AI-specific
Applications:
NLP
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025