AI product & model operations · Working

Fairness

Also called: algorithmic fairness

ELI5

Check whether the system treats people acceptably and justly.

Used in conversation

“Fairness requires a stated definition and affected-stakeholder input.”

Definition

The normative and technical treatment of equitable outcomes across people or groups; no single metric resolves all contexts.

Here “Fairness” means: The normative and technical treatment of equitable outcomes across people or groups; no single metric resolves all contexts.

Pitch context

You will see “Fairness” in product strategy decks, roadmaps, experiments and architecture reviews when the discussion reaches ai product & model operations.

Why it matters: In ai product & model operations, the scope can change what data may be used, who may access it and which controls are required.

Sources & evidence · 2

Direct term-level sources and supporting source families.

National Institute of Standards and Technology — Computer Security Resource Center GlossaryDirect source · primary · checked 2026-08-16
Scrum Guides — The Scrum Guide — official current versionSupporting source family · primary · checked 2026-08-16