AI Safety & Responsible AI
Fairness
The goal of avoiding unjustified differences in AI outcomes across people or groups.
Example
Approval rates are compared across groups to detect unequal outcomes.
Why people use it
Teams use “Fairness” when they need to identify harms and choose proportionate safeguards.
What you'll hear
“We need to account for Fairness before we ship this.”