Bias

Systematic errors in AI system outputs that produce unfair outcomes for certain groups. Can originate in training data (historical biases, representation gaps), model design (inappropriate features), or deployment context (mismatched distribution). Requires proactive measurement and mitigation throughout the AI lifecycle.