ISO/IEC 22989:2022 provides the core terminology and concept framework for artificial intelligence, helping organizations align technical language before they move into design, evaluation, procurement, or compliance work. Based on the title, it is intended to clarify AI concepts rather than define a performance test method or product specification. That makes it useful when teams need a shared reference for technical review, documented evaluation, and policy or engineering documentation involving AI systems, especially where operational consistency and conformity assessment depend on precise definitions.

Overview of ISO/IEC 22989:2022

ISO/IEC 22989:2022 focuses on artificial intelligence concepts and terminology, giving users a structured vocabulary for discussing AI-related functions, components, and system behavior. For engineering and compliance teams, that clarity can support specification writing, technical assessment, and internal review of AI-enabled products or services. As a derived document linked to ISO/IEC 22989, it is best understood as a supporting reference within the parent standard family, helping reduce ambiguity when organizations compare requirements, document workflows, or prepare controlled technical records.

Compliance applications of ISO/IEC 22989:2022

In compliance workflows, ISO/IEC 22989:2022 is often relevant when teams need consistent terminology across quality management files, supplier documentation, verification activities, and regulatory preparation. It may support procurement reviews, laboratory evaluation planning, and conformity assessment documentation for AI-based systems used in software, automation, or data-driven decision environments. By aligning language before technical validation begins, organizations can reduce misunderstandings between engineering, testing, and assurance functions and improve traceability across the technical document set.

Importance of compliance with ISO/IEC 22989:2022

Using ISO/IEC 22989:2022 as a reference can improve operational consistency by ensuring that AI concepts are described in the same way across engineering, testing, and governance teams. That is important for risk management, quality assurance, and clear technical review, particularly when decisions must be defended during procurement or conformity assessment preparation. Consistent terminology also supports reproducible documentation, easier audit preparation, and more reliable communication between system developers, assessors, and compliance stakeholders.

• Common vocabulary for artificial intelligence concepts and terminology
• Support for engineering documentation and internal technical review
• Useful reference for compliance workflows, procurement checks, and conformity assessment preparation
• Helps improve consistency in verification, validation, and governance records