ISO/IEC 23053:2022 — Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
STANDARD
AI GOVERNANCE
An international framework defining the components, workflows, and lifecycle of machine learning-based AI systems.
STANDARD
AI GOVERNANCE
ISO/IEC 22989:2022 — AI Concepts and Terminology
An international standard that establishes terminology and describes concepts used across artificial intelligence technologies and applications.
BUSINESS RELEVANCE
A controlled vocabulary reduces ambiguity in policies, contracts, inventories, risk assessments, and system documentation, particularly when multidisciplinary teams use the same words differently.
IMPLEMENTATION EXAMPLE
An organisation aligns its AI policy, system inventory, supplier questionnaire, and impact-assessment template with ISO/IEC 22989 terminology to prevent inconsistent classification.
LIMITATIONS
Terminology standards improve consistency but do not specify controls, certify systems, or settle every emerging usage. New concepts such as generative AI may be addressed through later amendments or complementary standards.
TECHNICAL EXPLANATION
The standard provides a shared vocabulary for AI, including concepts related to systems, models, data, learning, capabilities, stakeholders, and lifecycle activities. Consistent terminology supports communication across technical, governance, procurement, assurance, and regulatory work.
Secondary Topics
Intelligent Automation, Systems Architecture
Sources
ISO — ISO/IEC 22989:2022 — https://www.iso.org/standard/74296.html
Related terms
ISO/IEC 42005 — Information technology — Artificial intelligence — AI system impact assessment
STANDARD
AI GOVERNANCE
An international standard providing methodologies for assessing the impacts of artificial intelligence systems on individuals and society.
ISO/IEC 5259 Series — Information technology — Artificial intelligence — Data quality for analytics and machine learning (ML)
STANDARD
AI GOVERNANCE
A multi-part international standard establishing data quality models, metrics, and governance processes for AI and machine learning.
ISO/IEC 25059:2023 — Quality requirements and evaluation for AI systems
STANDARD
AI GOVERNANCE
An international quality model specifying characteristics and evaluation methods for artificial intelligence software systems.
ISO/IEC 24028:2020 — Overview of trustworthiness in artificial intelligence
STANDARD
AI GOVERNANCE
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