CKO-044Hallucinations, Bias & FairnessStrong evidence
What is fairness in AI?
Fairness refers to whether AI systems perform appropriately and equitably across different groups and contexts.
In more detail
Fairness assessment examines whether outputs systematically disadvantage particular populations, settings, languages or evidence sources. Fairness is closely related to bias but focuses on impacts rather than causes.
Why it matters
Unfair systems may reinforce inequalities.
Decision rule
Assess performance across diverse contexts.
Common misconception
“Fairness has a single universal definition.”
At a glance
- Evidence strength
- Strong
Related concepts
Key takeaway
Fairness requires active evaluation.