Reference · Glossary
Bias
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Systematic **unfair skew** in AI outputs — often reflecting biased training data or design choices that hurt groups or scenarios.
#When to use
Discussing fairness, hiring tools, healthcare triage, content moderation, and dataset audits.
#When not to
Every model mistake is not bias — some are random errors or missing context. Investigate patterns across groups.
#Example
A resume screener consistently ranks identical CVs lower when names suggest certain demographics — a bias red flag.