Bias in AI

Refers to systemic and repeatable errors in an AI system's output that create unfair outcomes, such as discrimination against certain demographic groups.

Refers to systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. The guidance highlights the importance of addressing inherent biases in data and models to prevent amplification of unfairness.