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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

CAN/CIOSC 101

Ethical design and use of automated decision systems

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HorizontalAI-specificAccountabilityBias and discrimination
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This standard specifies helps organizations protect human values and incorporate ethics in their design and use of automated decision systems.…
Published
Last Updated: 18 Jul 2024

Standards in development

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.
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Standards Body: IEEE
Last updated: 14 Apr 2025
This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective capabilities such as perception-oriented capabilities, cognitive capabilities, and learning capabilities. The standard provides guidelines for evaluating these capabilities, drawing inspiration…
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Standards Body: IEEE
Last updated: 14 Apr 2025
This document outlines quality models for AI systems and services and is an applicationspecific extension to the standards on SQuaRE. The characteristics and sub-characteristics detailed in the models provide consistent terminology for specifying, measuring and evaluating AI system and service…
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Standards Body: ISO
Last updated: 14 Apr 2025