AI engineering glossary · AI ethics law product
What is individual fairness?
Individual fairness: The principle that similar individuals should receive similar predictions, judged by a task-relevant similarity measure. Unlike group metrics, it looks at pairs of people, but it is hard to apply because defining who counts as similar is itself a value-laden choice.
Individual fairness: an example
Two applicants with the same income, repayment history and job stability should get near-identical credit scores, whatever their community.
Related terms
More AI ethics law product terms
Where you learn it
Individual fairness is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.