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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

IEEE 7000-2021

IEEE Standard Model Process for Addressing Ethical Concerns during System Design

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HorizontalAI-enabling - Project managementAI-enabling - Risk managementAccountability
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A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and…
Published
Last Updated: 19 Jul 2024
ANSI/CTA 2096

Guidelines for Developing Trustworthy Artificial Intelligence Systems

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HorizontalAI-specificAccountabilityAccuracy and performance
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This recommended practice will describe things developers of artificial intelligence (AI) systems should consider for their systems to be considered…
Published
Last Updated: 18 Jul 2024
IEEE 2894

Guide for an Architectural Framework for Explainable Artificial Intelligence

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HorizontalAI-specificAccountabilityAccuracy and performance
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This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…
Published
Last Updated: 18 Jul 2024

Standards in development

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…
Domain:
Horizontal
Scope:
AI-specific
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This recommended practice provides an overview of Artificial Intelligence Generated Content (AIGC) technologies, levels of those AICG technologies and defines the following: • Recommended rules for levels of AIGC technologies; • A detailed recommended practice for levels of AIGC technologies;…
Domain:
Horizontal
Scope:
AI-specific
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI responsibility in order to address and manage them while preserving the benefits of innovation. This recommended practice takes into consideration…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Risk management
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1 follower
Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025