What is AI Bias?
AI BusinessLast updated:
Systematic errors in AI outputs that unfairly favor or disadvantage particular groups due to flawed training data or design.
AI bias arises from unrepresentative training data, biased labeling, or model design choices that encode societal prejudices. Mitigation requires diverse datasets, bias auditing tools, fairness metrics, and ongoing monitoring of model outputs across demographic groups.