---
title: "Fairness policy"
description: "The per-system record, fixed before results are seen, of what fairness means for that system: the protected attributes in each jurisdiction and where their values come from, the chosen metric and…"
canonical: https://aigovernanceengineer.com/glossary/fairness-policy
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-25
---

# Fairness policy

The per-system record, fixed before results are seen, of what fairness means for that system: the protected attributes in each jurisdiction and where their values come from, the chosen metric and why, the threshold, the minimum cell size, the multiple-comparison correction and the approver. The fairness eval suite is judged against it.

- Developed in: [ch. 16, Fairness and explainability in the stack](https://aigovernanceengineer.com/bok/fairness-and-explainability#fairness-and-explainability-in-the-stack); [ch. 05, Pattern: Fairness Eval Suite](https://aigovernanceengineer.com/patterns/fairness-eval-suite)
- Chapters: [ch. 05, Patterns](https://aigovernanceengineer.com/bok/patterns) · [ch. 16, Fairness & XAI](https://aigovernanceengineer.com/bok/fairness-and-explainability)
- Contrast with: [Fairness](https://aigovernanceengineer.com/glossary/fairness)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-fairness-policy

## Sources

Defined by this Body of Knowledge: the section it is developed in is the source.