# How the ISO 22989 record is built

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 / Method

# How the record is built

One reviewed JSON record drives every page, the kit and the watch. Each unit carries its citation, its claim level, the requirement in plain English, the evidence an auditor asks for, the common gap and a source pointer. Where the public text is silent, the field says so.

## The four steps

- Read the public record. The ISO catalogue page for the amendment, the catalogue page for the base standard and the public clause 3 entries in the Online Browsing Platform.

- Author one record. Each unit gets a plain reading, a binding party, evidence, a gap and a source pointer. Definitions are paraphrased, never copied.

- Test the wording. A strict seven-word overlap check runs against the public source. A passage that repeats seven consecutive words is rewritten.

- Render and gate. Pages, kit, smokes, the UX audit, the legal gate, the link check and the refresh script. A step is done when its command prints and the output is quoted in the build log.

## Claim levels

Definition means the row states the public meaning of a defined term. Clause area means the row covers a clause whose structure is public. Concept section means the heading is public and the body is not. A concept section page never pretends to summarise a body it cannot read.

## What is paraphrased

Every requirement line, intent line, practice line, probe, gap and evidence line is our own wording. Term names, clause titles and defined terms stay verbatim because they are the names of things. The standard text is not reproduced.

## How the refresh works

The refresh script fetches the ISO record and the public platform entry, normalises the stage, the dates, the status and the term set, and compares them with the record. A difference is a finding for a person, never an automatic rewrite. The same diff is what the paid watch sends.

## The limits

The amendment text is not public. The site does not know the added terms and does not guess them. The planning date is an estimate. The product is not legal advice and does not certify. The 2022 entries are public but the standard is copyrighted, so the site gives a reading, not a copy.

Last updated: 2026-10-21

Source: https://iso-22989-revision-checker.theartofservice.com/method/