# A.6 Fairness

AI-related objective: The AI system treats individuals and groups without inappropriate bias or discrimination, with fairness criteria defined with stakeholders and checked in data, model and outcomes. Used when establishing risk criteria (6.3.4), identifying consequences (6.4.2.6) and evaluating risk (6.4.4). Read fairness against the objective the use threatens most.

- Framework: ISO/IEC 23894:2023
- Cited to: ISO/IEC 23894:2023, clause A.6
- Source: https://www.iso.org/standard/77304.html
- Last updated: 2026-10-20

## What it asks

AI-related objective: The AI system treats individuals and groups without inappropriate bias or discrimination, with fairness criteria defined with stakeholders and checked in data, model and outcomes. 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

Fairness failures in generative AI usually appear as a pattern across many outputs, so a single review of a single answer will not find them.

## Who it binds

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

## Evidence an auditor samples

- Fairness criteria and bias assessment results

## 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

- Fairness assumed from the absence of protected attributes

## 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.