ISO/IEC TS 25058:2024 provides guidance for quality evaluation of artificial intelligence (AI) systems within the Systems and software engineering SQuaRE framework. It is relevant when organizations need a structured technical reference for documented evaluation, quality workflows, and risk management around AI-enabled software or services. For engineering, testing, procurement, and compliance teams, the document supports more consistent technical assessment and review activities, especially where AI behavior must be evaluated against defined quality expectations.

What is ISO/IEC TS 25058:2024?

ISO/IEC TS 25058:2024 is a technical specification that focuses on how to approach quality evaluation for AI systems using the SQuaRE quality model perspective. Rather than defining a product itself, it serves as a supporting reference for assessment planning, verification activities, and technical documentation. Organizations may use it to align evaluation criteria, review methods, and evidence gathering when preparing a compliance reference or conducting internal technical validation of AI-based systems.

Applications of ISO/IEC TS 25058:2024

This document is commonly useful in AI system development, system integration, and acceptance testing workflows where quality evaluation needs to be more than ad hoc. It may support laboratory evaluation, product evaluation, and procurement review for software that includes AI functions. It is also relevant for teams preparing engineering documentation, defining conformity assessment inputs, or establishing repeatable testing workflows across projects that require operational consistency and traceable evaluation records.

Why is ISO/IEC TS 25058:2024 important?

Quality evaluation guidance for AI systems matters because AI behavior can affect safety, reliability, and technical compliance in ways that are not always captured by conventional software checks. ISO/IEC TS 25058:2024 can help organizations improve testing consistency, strengthen engineering validation, and reduce risk during technical review. It is also useful when procurement teams need a clearer basis for supplier evaluation or when compliance teams must prepare structured evidence for conformity assessment and regulatory preparation.

• Guidance for evaluating AI system quality within the SQuaRE framework
• Useful for planning verification activities and documented assessment methods
• Supports procurement, technical review, and conformity assessment preparation
• Helps improve testing consistency and quality assurance for AI-enabled systems
• Relevant to engineering documentation and risk-informed evaluation workflows