Terms related to machine learning · 3.3.6
machine learning algorithm
an algorithm that sets the parameters of a machine learning model from data against stated criteria
What this term settles
This is the sense the standard gives machine learning algorithm. A firm is free to use another sense, but then the difference belongs in its own glossary rather than in an assumed shared language.
Who it binds
The clause does not instruct anyone: it settles what machine learning algorithm means so that an instruction written elsewhere can be read the same way by both sides.
What to do in your practice
Put machine learning algorithm in the controlled vocabulary with its citation, an owner and a review date. Then test the inventory and the policy against the entry and record every place the firm uses a different word for the same thing.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for machine learning algorithm with the citation 3.3.6, an owner and a review date.An auditor can check that machine learning algorithm is controlled rather than assumed.
- A model record that names the algorithm, the training run and the parameters that changed. The row names machine learning algorithm.Shows machine learning algorithm in use in the artefact the firm relies on, not only in a glossary.
- A training log with the data version, the criteria and the result. The record carries the machine learning algorithm entry and its date.The model record names the vendor product but not the algorithm or the training run, so the term cannot be traced to an artefact. The gap is tested against machine learning algorithm.
Common gaps this page catches
- machine learning algorithm is used in the model and training record without a written definition, so two teams can mean different things.
- A local synonym has grown up beside machine learning algorithm and the two are now used interchangeably.
What to prepare before the amendment lands
Add the entry to the register, give it an owner and a review date, and test it against one live artefact this week. The test is the evidence; the register row alone is not.
How to test it here
Take one live artefact rather than a template, find the sentence or field where machine learning algorithm is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states machine learning algorithm at the claim level "definition" and stops where the public record stops.
Common questions
- What does machine learning algorithm mean in ISO 22989?
- an algorithm that sets the parameters of a machine learning model from data against stated criteria
- What evidence should we keep for 3.3.6?
- A controlled vocabulary entry for machine learning algorithm with the citation 3.3.6, an owner and a review date. A model record that names the algorithm, the training run and the parameters that changed. The row names machine learning algorithm.
- Is machine learning algorithm a requirement?
- No: machine learning algorithm is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.3.6, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary