# Clause pages, ISO 22989 Published contents Contents1 Scope2 Normative references3 Terms and definitions4 Abbreviated terms5 AI conceptsClause 3, terms 3.1 Terms related to AI3.1.1 AI agent3.1.2 AI component3.1.3 artificial intelligence3.1.4 artificial intelligence system3.1.5 autonomy3.1.6 application specific integrated circuit3.1.7 automatic3.1.8 cognitive computing3.1.9 continuous learning3.1.10 connectionism3.1.11 data mining3.1.12 declarative knowledge3.1.13 expert system3.1.14 general AI3.1.15 genetic algorithm3.1.16 heteronomy3.1.17 inference3.1.18 internet of things3.1.19 IoT device3.1.20 IoT system3.1.21 knowledge3.1.22 life cycle3.1.23 model3.1.24 narrow AI3.1.25 performance3.1.26 planning3.1.27 prediction3.1.28 procedural knowledge3.1.29 robot3.1.30 robotics3.1.31 semantic computing3.1.32 soft computing3.1.33 symbolic AI3.1.34 subsymbolic AI3.1.35 task3.2 Terms related to data3.2.1 data annotation3.2.2 data quality checking3.2.3 data augmentation3.2.4 data sampling3.2.5 dataset3.2.6 exploratory data analysis3.2.7 ground truth3.2.8 imputation3.2.9 input data3.2.10 label3.2.11 personally identifiable information3.2.12 production data3.2.13 sample3.2.14 test data3.2.15 validation data3.3 Terms related to machine learning3.3.1 Bayesian network3.3.2 decision tree3.3.3 human-machine teaming3.3.4 hyperparameter3.3.5 machine learning3.3.6 machine learning algorithm3.3.7 machine learning model3.3.8 parameter3.3.9 reinforcement learning3.3.10 retraining3.3.11 semi-supervised machine learning3.3.12 supervised machine learning3.3.13 support vector machine3.3.14 trained model3.3.15 training3.3.16 training data3.3.17 unsupervised machine learning3.4 Terms related to neural networks3.4.1 activation function3.4.2 convolutional neural network3.4.3 convolution3.4.4 deep learning3.4.5 exploding gradient3.4.6 feed forward neural network3.4.7 long short-term memory3.4.8 neural network3.4.9 neuron3.4.10 recurrent neural network3.5 Terms related to trustworthiness3.5.1 accountable3.5.2 accountability3.5.3 availability3.5.4 bias3.5.5 control3.5.6 controllability3.5.7 explainability3.5.8 predictability3.5.9 reliability3.5.10 resilience3.5.11 risk3.5.12 robustness3.5.13 stakeholder3.5.14 transparency3.5.15 transparency3.5.16 trustworthiness3.5.17 verification3.5.18 validation3.6 Terms related to natural language processing3.6.1 automatic summarization3.6.2 dialogue management3.6.3 emotion recognition3.6.4 information retrieval3.6.5 machine translation3.6.6 named entity recognition3.6.7 natural language3.6.8 natural language generation3.6.9 natural language processing3.6.10 natural language processing3.6.11 natural language understanding3.6.12 optical character recognition3.6.13 part-of-speech tagging3.6.14 question answering3.6.15 relationship extraction3.6.16 sentiment analysis3.6.17 speech recognition3.6.18 speech synthesis3.7 Terms related to computer vision3.7.1 computer vision3.7.2 face recognition3.7.3 image3.7.4 image recognitionClause 5, concepts 5.1 General5.2 From strong and weak AI to general and narrow AI5.3 Agent5.4 Knowledge5.5 Cognition and cognitive computing5.6 Semantic computing5.7 Soft computing5.8 Genetic algorithms5.9 Symbolic and subsymbolic approaches for AI5.10 Data5.11 Machine learning concepts Home / Clauses # Clause pages ISO/IEC 22989:2022 has five clauses. Clause 3 carries the 117 definitions in seven groups; clause 5 sets out eleven concept sections. Every clause and subclause has a page here with what the public record states, what it does not, and the work it implies for an AI governance team. The published contents are the map of the document. Clauses 1 to 3 are public, including all the definitions. Clause 4 and the body of clause 5 are not public, so their pages state the title, the structure and the public terms they build on, and say plainly where the text stops. Clauses and subclauses in the published contents ClauseTitleClaim levelPublic text 1Scopescope statementThe clause is in the public preview. 2Normative referencesscope statementThe clause is in the public preview. 3Terms and definitionsterms and definitionsAll 117 entries are in the public preview. 3.1Terms related to AIterms and definitionsAll 35 entries are in the public preview. 3.2Terms related to dataterms and definitionsAll 15 entries are in the public preview. 3.3Terms related to machine learningterms and definitionsAll 17 entries are in the public preview. 3.4Terms related to neural networksterms and definitionsAll 10 entries are in the public preview. 3.5Terms related to trustworthinessterms and definitionsAll 18 entries are in the public preview. 3.6Terms related to natural language processingterms and definitionsAll 18 entries are in the public preview. 3.7Terms related to computer visionterms and definitionsAll 4 entries are in the public preview. 4Abbreviated termsabbreviation list (body not public)The clause title is in the published contents. The list is not public. 5AI conceptsconcept clause (body not public)The title and the section list are in the published contents. The body is not public. 5.1Generalconcept section (body not public)Heading only. 5.2From strong and weak AI to general and narrow AIconcept section (body not public)Heading only. 5.3Agentconcept section (body not public)Heading only. 5.4Knowledgeconcept section (body not public)Heading only. 5.5Cognition and cognitive computingconcept section (body not public)Heading only. 5.6Semantic computingconcept section (body not public)Heading only. 5.7Soft computingconcept section (body not public)Heading only. 5.8Genetic algorithmsconcept section (body not public)Heading only. 5.9Symbolic and subsymbolic approaches for AIconcept section (body not public)Heading only. 5.10Dataconcept section (body not public)Heading only. 5.11Machine learning conceptsconcept section (body not public)Heading only. ## Where to start 3.1 ### Terms related to AI The core vocabulary: the AI system, its parts, its outputs and the main approaches. Thirty five terms 3.5 ### Terms related to trustworthiness The qualities an assurance case leans on, from accountability to validation. Eighteen terms 5 ### AI concepts Eleven concept sections, from general ideas to machine learning concepts. Read the clause page Last updated: 2026-10-21 Source: https://iso-22989-revision-checker.theartofservice.com/clauses/