ISO/IEC 22989:2022 — AI Concepts and Terminology
STANDARD
AI GOVERNANCE
A global benchmark establishing standardized terminology and core definitions for artificial intelligence disciplines.
STANDARD
AI GOVERNANCE
ISO/IEC 5394 — Information technology — Artificial intelligence — Knowledge engineering
An international standard establishing concepts, terms, and reference architectures for knowledge engineering and representation in AI systems.
BUSINESS RELEVANCE
Structured knowledge representation ensures deterministic reasoning, interoperability, and semantic ground truth in complex decision systems, knowledge graphs, and hybrid AI architectures.
IMPLEMENTATION EXAMPLE
An enterprise builds an ontology-driven semantic knowledge base adhering to ISO/IEC 5394 principles to ground generative AI agents in enterprise domain knowledge.
LIMITATIONS
Knowledge engineering requires labor-intensive domain modeling and maintenance; ontologies must be continuously updated to reflect evolving business domains.
TECHNICAL EXPLANATION
The standard defines concepts, models, and processes for knowledge acquisition, formal representation, ontology structuring, and knowledge verification within AI systems. It covers semantic models, reasoning mechanisms, and integration patterns between symbolic knowledge systems and machine learning components.
Secondary Topics
Data Engineering, Systems Architecture
Sources
ISO — ISO/IEC 5394 — https://www.iso.org/standard/81232.html
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