# A.4 Availability and quality of training and test data

AI-related objective: Training, validation and test data are available, representative of the intended use, of adequate quality and provenance, and managed so that their limitations are known. Used when establishing risk criteria (6.3.4), identifying consequences (6.4.2.6) and evaluating risk (6.4.4). Read availability and quality of training and test data against the objective the use threatens most.

- Framework: ISO/IEC 23894:2023
- Cited to: ISO/IEC 23894:2023, clause A.4
- Source: https://www.iso.org/standard/77304.html
- Last updated: 2026-10-20

## What it asks

AI-related objective: Training, validation and test data are available, representative of the intended use, of adequate quality and provenance, and managed so that their limitations are known. Used when establishing risk criteria (6.3.4), identifying consequences (6.4.2.6) and evaluating risk (6.4.4).

## Where generative AI changes the answer

Training and test data quality decides whether a generative system fails in a way the organisation can see, and retrieval data decides it too.

## Who it binds

The AI risk owner, with the objective owner named in the risk treatment plan.

## Evidence an auditor samples

- Data quality and provenance records for training and test sets

## The test you can run

Ask which objective the use threatens most and what measure shows it. A blank answer is the finding.

## Common failures

- Test data drawn from the training set

## Before the draft publishes

Pick the two objectives the use most affects, write the test you would apply, and record the result before the draft is published.

## What this page does not say

It does not state the text of ISO/IEC DTS 25568, because ISO has not published the draft's clause text. It does not certify anything.

Not legal advice; does not certify.