What ISO/IEC 22989:2022 - Artificial Intelligence Concepts and Terminology requires
ISO/IEC 22989:2022 'Artificial intelligence - Concepts and terminology' is the foundational ISO/IEC standard establishing the vocabulary for artificial intelligence; published by ISO/IEC JTC 1/SC 42 (Subcommittee on Artificial Intelligence), it defines over 150 key AI terms organised into seven conceptual areas: (1) Basic concepts - AI, artificial intelligence system, autonomy, autonomous system, explainability, trustworthy AI, human-centred AI; (2) Machine learning concepts - machine learning, supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, federated learning, transfer learning; (3) Neural network concepts - neural network, deep learning, convolutional neural network, recurrent neural network, generative adversarial network, attention mechanism, transformer; (4) Data concepts - training data, test data, validation data, dataset, ground truth, label, annotation, data augmentation; (5) Model concepts - AI model, model training, inference, overfitting, underfitting, hyperparameter, performance metric; (6) Functional safety and AI - fail-safe, fail-secure, safety integrity level, AI safety; (7) Sociotechnical concepts - algorithmic bias, fairness, accountability, transparency, privacy-by-design; ISO/IEC 22989:2022 is the primary vocabulary reference for ISO/IEC 42001:2023 (AI management system), ISO/IEC 23894:2023 (AI risk management), ISO/IEC 24027:2021 (AI bias), and the entire ISO/IEC JTC 1/SC 42 AI standard family; regulatory instruments including the EU AI Act Article 3 definitions are aligned with the ISO/IEC 22989 vocabulary; organisations implementing AI governance frameworks should ensure their internal AI terminology is consistent with ISO/IEC 22989 to enable interoperability with regulatory requirements and contractual obligations that reference ISO/IEC AI standards.
Pillar: AI Governance & Law · Authority: ISO/IEC JTC 1/SC 42 - Artificial Intelligence · Version: 1.0.0 · Last updated:
Primary source: https://www.iso.org/standard/74296.html
SHA-256 integrity: a1b756def34185c457fd8217f1fedfb229fe687f500d43b2d0d5dfaf340f59d9
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- {"title":"ISO/IEC 22989:2022 - Artificial intelligence - Concepts and terminology","url":"https://www.iso.org/standard/74296.html","relevance":"Primary international standard establishing the authoritative vocabulary for artificial intelligence - published by ISO/IEC JTC 1/SC 42, it defines over 150 AI terms covering basic AI concepts, machine learning types, neural network architectures, data terminology, model concepts, and trustworthiness vocabulary; all other ISO/IEC AI standards (42001, 23894, 24027, 24029, 24368) reference ISO/IEC 22989 as the normative vocabulary source"}
- {"title":"ISO/IEC 42001:2023 - Artificial intelligence - Management system","url":"https://www.iso.org/standard/81230.html","relevance":"The ISO/IEC AI management system standard that references ISO/IEC 22989 as its normative vocabulary source - ISO/IEC 42001 requires organisations implementing an AIMS to use consistent AI terminology; the ISO/IEC 22989 vocabulary provides the definitional foundation for AI system identification, risk classification, and impact assessment procedures under ISO/IEC 42001"}
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