ISO IEC TR 24030-2024 PDF

Full title and description

Information technology — Artificial intelligence (AI) — Use cases (ISO/IEC TR 24030:2024). This technical report compiles representative AI use cases across multiple domains to illustrate application patterns, deployment models and practical challenges for AI systems.

Abstract

ISO/IEC TR 24030:2024 (Edition 2) provides a curated collection of AI use cases intended to support standards development, inform practitioners and help stakeholders understand real-world AI applications, their contexts, objectives and typical hazards or risks encountered during design, deployment and operation.

General information

• Status: Published
• Publication date: April 2024 (Edition 2).
• Publisher: ISO and IEC (joint publication via ISO/IEC JTC 1).
• ICS / categories: 35.020 (Information technology).
• Edition / version: Edition 2 (2024).
• Number of pages: 169 (English edition).

Scope

The report provides a collection of representative use cases of AI applications across a variety of domains (for example: healthcare, finance, manufacturing, transport, public services and multimedia). Its purpose is illustrative and informative rather than normative: it documents application intents, typical architectures, deployment contexts, stakeholders and common concerns to guide standardization, risk assessment and system design activities. The life cycle of this TR indicates it is published but scheduled for revision and a follow-on AWI project is under development.

Key topics and requirements

• Catalogues of AI use-case descriptions (purpose, actors, data types, success criteria and typical outcomes).
• Examples across sectors: clinical decision support, credit decisioning, predictive maintenance, autonomous mobility, content generation and consumer services.
• Common concerns identified in use cases: data quality and representativeness, fairness and bias, explainability, safety and robustness, privacy and security, and operational monitoring.
• Typical architectural and deployment patterns (on-device, edge, cloud, hybrid) and associated governance considerations.
• Guidance-style outputs to inform related standards (management systems, terminology, risk guidance and ML frameworks) rather than prescriptive technical requirements.

Typical use and users

Intended users include standards developers, AI practitioners (system architects, product managers, data scientists), risk and compliance teams, procurement officers, regulators and researchers. Organizations use the TR to assemble examples that inform requirements, risk assessments, test cases or procurement specifications and to align stakeholder understanding of AI application scenarios.

Related standards

ISO/IEC TR 24030 is part of the ISO/IEC JTC 1/SC 42 family of AI publications and is commonly used alongside AI management, risk and systems standards such as ISO/IEC 42001:2023 (AI management systems), ISO/IEC 23053:2022 (framework for AI systems using ML) and ISO/IEC 23894:2023 (guidance on AI risk management). These documents together help translate practical use cases into governance, lifecycle and risk-management practices.

Keywords

AI use cases, case studies, artificial intelligence, examples, deployment models, data governance, risk management, explainability, bias, ISO/IEC JTC 1/SC 42.

FAQ

Q: What is this standard?

A: ISO/IEC TR 24030:2024 is a Technical Report that collects and describes representative AI use cases to support standards development and practical understanding of AI applications across sectors.

Q: What does it cover?

A: It documents use-case intent, stakeholders, data types, typical architectures and common concerns (e.g., fairness, safety, privacy and monitoring). The document is illustrative and intended to inform normative standards and organizational practice rather than to set prescriptive requirements.

Q: Who typically uses it?

A: Standards writers, AI architects, product teams, risk and compliance professionals, regulators and researchers use the TR to derive requirements, test scenarios and governance practices from real-world examples.

Q: Is it current or superseded?

A: It is current as the Edition 2 publication (April 2024). The standard is in the ISO lifecycle and a replacement work item (ISO/IEC AWI TR 24030) is under development to revise the report in a future edition.

Q: Is it part of a series?

A: Yes — it belongs to the ISO/IEC JTC 1/SC 42 suite of AI guidance and standards (for example ISO/IEC 42001 for AI management systems, ISO/IEC 23053 for ML-based system frameworks and ISO/IEC 23894 for AI risk guidance), which together address terminology, governance, risk and technical frameworks.

Q: What are the key keywords?

A: Representative keywords are: AI use case, case study, deployment model, data governance, explainability, fairness, robustness, monitoring, ISO/IEC JTC 1/SC 42.