Risk · R-154 · Transparency & Explainability

Missing information for deployers and users

The people who operate or use a system have not been told its intended purpose, how well it performs, where it fails and what oversight it needs.

Severity
Medium
Audience
Heads-of · Practitioner
Frameworks
Article 13 · Article 26 · Annex A.8
Reviewed
2026-11-11

What it is

A system is safe to use only within limits, and the people using it have to know what those limits are. They need to be told what the system is for, what it should not be used for, how accurate it is and for whom, what its outputs mean, when to distrust it and what checking is expected of them. Developers know these things, and the knowledge often stops with them. This entry concerns information passed to operators and users inside an organisation, or from an organisation to those who use its system. Information that a supplier fails to give is covered in missing provider documentation.

How it happens

  • The system is released with a guide to its features and nothing on its limitations.
  • Known weaknesses found in testing are recorded in a validation report users never see.
  • The meaning of a score or confidence figure is not explained.
  • Instructions are not updated when the system changes.

Why it matters

Users treat the system as more capable than it is, apply it outside its purpose, and omit the checks its designers assumed. For high-risk systems the EU AI Act requires providers to supply instructions for use and deployers to follow them.

Warning signs

  • Users cannot say what the system should not be used for.
  • No document for users states the system's accuracy or known limitations.
  • Staff interpret the same score in different ways.
  • Guidance predates the current version.

Mitigating controls

Primary controls

Information for deployers and users Directive
Supplies current instructions covering purpose, performance, limits and oversight. Those who operate and use an AI system receive current, usable instructions covering its purpose, performance, limitations, the meaning of its outputs and the oversight it needs.

Supporting controls

Model and system documentation Directive
Provides the source material for those instructions. Each AI system's purpose, design, data, test results and limitations are documented to a set standard that allows a validator, auditor or regulator to understand it without its authors.
Role-based AI training Directive
Operators are trained on them. Reviewers, developers, risk and assurance staff, approvers and front-line teams receive training specific to their AI responsibilities, with competence assessed and completion tracked.

Framework and clause references

FrameworkClauseTitle
EU AI ActArticle 13Transparency and provision of information to deployers The duty this risk is a failure of.
EU AI ActArticle 26Obligations of deployers of high-risk AI systems Deployers must use the system in line with instructions.
ISO/IEC 42001:2023Annex A.8Information for interested parties Information for interested parties.

Sources

EU AI Act: Regulation (EU) 2024/1689 European Union (EUR-Lex) · official text

Related terms

How to cite

Axiom Verity (2026). Missing information for deployers and users. Reference Library, R-154. https://axiom-verity.com/risks/missing-information-for-deployers-and-users. Reviewed 2026-11-11.