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Dictionary by pitch.dog
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.

When the words have to travel

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Sources & evidence · 2

Direct term-level sources and supporting source families.