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
ch. 05, Pattern: Fairness Eval Suite
Chapters
ch. 05, Patterns · ch. 16, Fairness & XAI
Contrast with
Fairness
Source
Defined by this Body of Knowledge: the section it is developed in is the source

Where it is used

One chapter of the Body of Knowledge uses the term. Each link opens the first section that does.

Patterns that use this term

One pattern page uses the term.

Sources

No external source: the term is coined or used in a specific sense by this Body of Knowledge, and the section linked under "Developed in" is its source.

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Fairness policy. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/fairness-policy. CC BY 4.0

BibTeX

@misc{aige2026fairnesspolicy,
  author  = {Jorge García Aibar},
  title   = {{Fairness policy}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/fairness-policy}
}