Overview
Algorithmic bias refers to systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. This phenomenon occurs when human prejudices are inadvertently baked into machine learning models through skewed training data or flawed design choices.