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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

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

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,…
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Standards Body: IEEE
Last updated: 14 Apr 2025
This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard defines the relevant terminology, potential applications, and a risk abatement strategy for the behavior of AI models. The standard does…
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Standards Body: IEEE
Last updated: 14 Apr 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…
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Standards Body: IEEE
Last updated: 14 Apr 2025