Bias in AI (Algorithmic Bias)

Bias in AI (algorithmic bias) is a systematic distortion in the outputs of an AI model, caused by unbalanced, incomplete, or historically biased training data, which leads to unfair or discriminatory results for certain groups of people. Detecting, measuring, and minimizing bias are key components of responsible AI development, particularly in sensitive areas such as hiring, lending, or healthcare.