• Content Type

ISO/IEC TR 24028:2020
PD ISO/IEC TR 24028:2020

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

Last updated: 19 Jan 2026

Development Stage

Pre-draft

Draft

Published

19 Dec 2018
28 May 2020
published

Abstract

What is ISO/IEC TR 24028 about?

ISO/IEC TR 24028 is an international standard on artificial Intelligence (AI) which includes task performance that normally requires human intelligence.

ISO/IEC TR 24028 surveys topics related to trustworthiness in AI systems, including the following:

  • Approaches to establish trust in AI systems through transparency, explainability, controllability, etc.
  • Engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and
  • Approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security, and privacy of AI systems

Who is ISO/IEC TR 24028 for?

ISO/IEC TR 24028 on AI is relevant to:

  • IT industry
  • AI industry
  • Developers
  • Machine learning engineers
  • Data scientists
  • Regulatory bodies

Why should you use ISO/IEC TR 24028?

Artificial intelligence is a theory and development of computer systems that can perform tasks that normally require human intelligence. ISO/IEC TR 24028 briefly surveys the existing approaches that can support or improve trustworthiness in technical systems and discusses their potential application to AI systems. ISO/IEC TR 24028 discusses possible approaches to mitigating AI system vulnerabilities that relate to trustworthiness. ISO/IEC TR 24028 also discusses approaches to improving the trustworthiness of AI systems.

Adopting ISO/IEC TR 24028 to analyze the factors that can impact the trustworthiness of systems providing or using AI systems, can help mitigate vulnerabilities and risks, and build credibility and reliability in your products and services, thus facilitating expansion in newer business applications and industries.

Ā© British Standards Institution 2022

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Relevant UK committee: ART/1

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