Overview
ISO/IEC TR 24030:2024 - Information technology - Artificial intelligence (AI) - Use cases is a Technical Report (second edition, April 2024) that compiles a broad collection of representative AI use cases across many domains. Rather than prescribing mandatory rules, it provides structured, practical examples and a standardized use‑case template to help practitioners, decision‑makers and standards developers describe, compare and analyse real‑world AI applications.
Key topics and structure
This report organizes and explains use cases with consistent fields and guidance. Major technical topics include:
- Application domains and deployment models - classification of AI use across sectors and how systems are deployed (cloud, edge, embedded, hybrid).
- Use‑case template fields - structured elements such as ID, name, objectives, narrative, stakeholders, data characteristics, Key Performance Indicators (KPIs), features, threats & vulnerabilities, challenges, and trustworthiness considerations.
- Trustworthiness and societal concerns - sections addressing safety, robustness, privacy, ethical issues and alignment with Sustainable Development Goals (SDGs).
- Guidance for contributors - how to submit and document use cases and opportunities for future standardization.
- Statistics and analysis - aggregated breakdowns by domain, task and societal impact to identify trends and gaps.
The report also contains many concrete use‑case summaries (e.g., agriculture, healthcare, fintech, ICT, robotics, education, energy, e‑commerce) allowing comparisons of functional requirements and risks.
Practical applications
ISO/IEC TR 24030:2024 is useful for:
- AI system architects and engineers - to benchmark functional needs, data characteristics and KPIs across comparable deployments.
- Product managers and solution teams - to justify design choices, identify risk vectors and prioritize trustworthiness features.
- Regulators and procurement officers - to understand typical use‑case narratives and assess compliance, safety and societal impacts.
- Standards developers and researchers - to discover recurring patterns and standardization opportunities across domains.
- Domain specialists (healthcare, agritech, fintech, ICT, robotics, education, energy) - to map sector‑specific examples to operational workflows and governance needs.
Practical benefits include faster requirements capture, improved interoperability planning, better risk assessment and clearer alignment with ethical and SDG considerations.
Related standards (context)
ISO/IEC TR 24030 complements other ISO/IEC AI work by ISO/IEC JTC 1/SC 42 and can be used alongside AI governance, data quality and risk‑management standards to form a coherent toolkit for developing trustworthy AI.
Keywords: ISO/IEC TR 24030:2024, AI use cases, artificial intelligence, use‑case template, deployment models, KPIs, trustworthiness, standards, SDGs.
