Information technology — Artificial intelligence — Overview of trustworthiness in artificial intelligence
ISO/IEC TR 24028:2020 is a technical report that surveys topics related to trustworthiness in artificial intelligence systems. It covers approaches for establishing trust through transparency, explainability, and controllability, as well as engineering pitfalls, threats, risks, and mitigation techniques. Additionally, it examines methods to assess and achieve availability, resiliency, reliability, accuracy, safety, security, and privacy in AI systems.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Developers, researchers, and organizations seeking an overview of trustworthiness concepts, risks, and mitigation techniques in artificial intelligence.
What the document contains
Trustworthiness in AI systems, encompassing transparency, explainability, controllability, threat analysis, risk mitigation, and system characteristics like reliability, safety, security, and privacy.
The specification of specific levels of trustworthiness for AI systems is out of scope.
- The document surveys topics related to trustworthiness in AI systems including transparency, explainability, and controllability.
- It outlines engineering pitfalls, threats, and risks to AI systems alongside potential mitigation techniques.
- It addresses approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security, and privacy.
- The specification of concrete levels of trustworthiness for AI systems is explicitly excluded from its scope.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-23
Human Oversight
3/5Humans remain in control of consequential decisions
approaches to establish trust in AI systems through transparency, explainability, controllability, etc.
Abstract
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems
Abstract
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
approaches to establish trust in AI systems through transparency, explainability, controllability, etc.
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems
Abstract
screening score · 2026-10-23