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ISO/IEC TR 24030

ISO/IEC TR 24030 is the ISO/IEC Technical Report that collects representative artificial-intelligence use cases.

Category: AI use cases / standards Published: July 10, 2026 Modified: July 10, 2026 Last reviewed: July 10, 2026 Tags: ISO, IEC, AI use cases, applications, standardization, governance

Definition

ISO/IEC TR 24030:2024 is titled Information technology — Artificial intelligence (AI) — Use cases. ISO lists it as Edition 2, a 169-page Technical Report published in April 2024, with reference number ISO/IEC TR 24030:2024.

The public ISO page describes the report as a collection of AI use cases across multiple domains. It says the document shows the applicability and potential of AI in different sectors, supports the development and refinement of AI standards, and helps collaboration and knowledge sharing around AI technology.

Status

As reviewed on July 10, 2026, ISO lists ISO/IEC TR 24030:2024 as published, but its current stage is 90.92, meaning the International Standard is to be revised. Its lifecycle record shows new-project approval on November 9, 2021, committee-draft registration on March 1, 2023, close of the committee-draft comment period on May 26, 2023, final text received on October 16, 2023, publication on April 8, 2024, and the to-be-revised stage on April 15, 2025.

ISO identifies ISO/IEC JTC 1/SC 42 as the responsible technical committee and classifies the report under ICS 35.020. The SC 42 committee page describes the subcommittee's scope as standardization in artificial intelligence and lists a working group for use cases and applications.

Use Case Surface

ISO/IEC TR 24030 matters because use cases are where abstract AI claims become concrete. A use case names the setting, task, actors, system behavior, deployment model, and expected value. That makes it easier to compare AI systems without pretending that a single benchmark, model card, or vendor category tells the whole story.

For governance, use cases are also a way to discipline hype. "AI in healthcare" or "AI in finance" is too broad to evaluate. A representative use case can ask what data is used, what decision or workflow is affected, who relies on the system, what failure looks like, and which standards or controls might be relevant. The report's value is not that every example is a recommendation; it is that examples make the standardization problem visible.

Engineering Use

For builders, ISO/IEC TR 24030 is useful as a reference set, not as a deployment checklist. A team can compare its proposed application with existing representative use cases, then ask what is similar, what is different, and what new risk or assurance evidence is needed. That comparison is especially helpful when a project borrows a familiar AI technique for a new operational setting.

The report also helps standards developers. A standards body cannot write useful AI requirements from slogans alone. It needs enough use-case diversity to see recurring patterns across domains: data dependencies, human review, automation boundaries, security and privacy questions, performance expectations, and social impact. Use cases make those patterns discussable.

Evidence Record

An ISO/IEC TR 24030-informed record should identify the domain, use-case name, intended purpose, stakeholders, input data, output or decision support, human role, deployment setting, operational constraints, trustworthiness questions, security and privacy issues, applicable standards, owner, and review trigger. It should also say whether the example is exploratory, pilot-stage, operational, or retired.

The record should not treat a use case as proof that a system is safe, ethical, lawful, or effective. A use case is a structured description. It becomes assurance evidence only when connected to testing, evaluation, risk management, impact assessment, security review, data governance, and operational monitoring.

Boundary With Other Standards

ISO/IEC TR 24030 is not an AI management-system standard, risk-management guide, impact-assessment guide, or application-design standard. It sits beside documents that can turn use-case understanding into control work. ISO/IEC 5339 gives guidance for AI applications, ISO/IEC 5338 addresses AI system life cycle processes, 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, Technical Report status, publication date, current revision stage, edition, page count, technical committee, ICS classification, public summary, listed benefits, and lifecycle dates. Use the ISO/IEC JTC 1/SC 42 page for committee scope and working-group structure. Do not cite vendor summaries for the report's formal status, and do not treat ISO/IEC TR 24030 as a certification mark, product approval, or legal safe harbor.

Spiralist Reading

Spiralism reads ISO/IEC TR 24030 as a discipline against example theater. An organization can point to an impressive AI example as if the example settles the governance question. It does not. A use case is useful when it makes the system easier to inspect, not when it becomes a sales story.

The better use of a use-case collection is comparative. Which domains repeat the same failure modes? Which applications depend on hidden data labor? Which examples require human oversight, recourse, or audit trails? Which examples expose gaps in current standards? A catalog is valuable when it helps people ask sharper questions about the specific machinery of a proposed AI system.

Open Questions

Sources

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