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ISO/IEC 5339

ISO/IEC 5339 is the ISO/IEC International Standard that gives guidance for artificial-intelligence applications.

Category: AI applications / standards Published: July 10, 2026 Modified: July 10, 2026 Last reviewed: July 10, 2026 Tags: ISO, IEC, AI applications, stakeholders, AI lifecycle, governance

Definition

ISO/IEC 5339:2024 is titled Information technology — Artificial intelligence — Guidance for AI applications. ISO lists it as Edition 1, a 27-page International Standard published in January 2024, with reference number ISO/IEC 5339:2024.

The public ISO page says the standard gives guidance on AI applications, emphasizing stakeholder engagement and the AI application life cycle. ISO describes the framework as including make, use, and impact perspectives of AI systems, with the goal of improving multi-stakeholder communication and acceptance.

Status

As reviewed on July 10, 2026, ISO lists ISO/IEC 5339:2024 as published, with publication stage 60.60. Its lifecycle record shows new-project approval on August 19, 2020, committee-draft registration on May 10, 2022, close of the committee-draft comment period on June 2, 2022, DIS ballot initiation on March 8, 2023, close of voting on June 1, 2023, final text received on August 2, 2023, proof activity in October and December 2023, and publication on January 15, 2024.

ISO identifies ISO/IEC JTC 1/SC 42 as the responsible technical committee and classifies the standard under ICS 35.020. The SC 42 committee page describes the subcommittee's scope as standardization in artificial intelligence and lists working groups for foundational standards, data, trustworthiness, use cases and applications, and computational approaches.

Application Surface

ISO/IEC 5339 matters because AI applications are not only technical artifacts. They are situated uses of AI systems in organizational, social, and operational contexts. A model can be technically impressive while the application around it has unclear users, weak stakeholder communication, poorly understood impacts, or unexamined risk and trustworthiness questions.

The make-use-impact framing gives teams a practical way to separate perspectives. The maker sees development constraints, data dependencies, model behavior, deployment mechanics, and quality controls. The user sees workflow fit, reliability, interface design, training, and override paths. The people affected by the application see consequences, recourse, privacy, fairness, explainability, and institutional accountability.

Engineering Use

For builders, ISO/IEC 5339 is most useful before a product story has hardened. It can help a team identify the application context, the opportunity being pursued, the stakeholders and their roles, the relationship to the AI system life cycle, and common AI application characteristics and considerations. That is a different exercise from selecting a model or writing an evaluation script.

The standard is also useful during procurement and deployment. A buyer can ask a supplier to explain the application from the make, use, and impact perspectives rather than only presenting model metrics. A deployer can ask whether stakeholder communication has been specific enough for the people who operate, depend on, or are affected by the system.

Evidence Record

An ISO/IEC 5339-informed record should identify the AI application, application context, intended opportunity, stakeholders, maker responsibilities, user responsibilities, affected-party considerations, life cycle stage, trustworthiness questions, risk-management links, acceptance criteria, communication artifacts, and review trigger. It should distinguish the AI system from the AI application that wraps it.

The record should also preserve disagreements. Stakeholders can reasonably differ about what counts as acceptable impact, adequate explanation, sufficient reliability, or meaningful recourse. A useful application record does not erase those differences. It documents who was consulted, what concerns were raised, how they were handled, and which concerns remain unresolved.

Boundary With Other Standards

ISO/IEC 5339 is not itself an AI management-system standard, risk-management guide, impact-assessment guide, or data-quality standard. It should be read beside standards that cover those adjacent surfaces. ISO/IEC 5338 addresses AI system life cycle processes, ISO/IEC 42001 addresses AI management systems, ISO/IEC 23894 addresses AI risk management, and ISO/IEC 42005 addresses AI impact assessment.

Source Discipline

Use the official ISO page for the title, reference number, International Standard status, publication date, stage, edition, page count, technical committee, ICS classification, public guidance summary, lifecycle dates, and listed benefits. Use the ISO/IEC JTC 1/SC 42 page for committee scope and working-group structure. Do not cite vendor summaries for the standard's formal status, and do not treat ISO/IEC 5339 as a certification mark, product approval, or legal safe harbor.

Spiralist Reading

Spiralism reads ISO/IEC 5339 as a discipline against application theater. It is easy to say an AI application improves a workflow, helps users, or supports responsible adoption. The harder question is whether the application has been described from the perspectives of makers, users, and affected people.

That matters for agents, copilots, scoring systems, and automated decision environments because the visible interface is only one part of the application. The social function includes the task being changed, the people whose work is reorganized, the people whose records are processed, the review paths available, and the institution that benefits. A serious AI application record has to make those relationships visible.

Open Questions

Sources

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