What is AI bias?

AI bias is when a model produces systematically unfair or skewed results, often because its training data reflected existing inequalities or was not representative. For example, a hiring model trained on past decisions may disadvantage certain groups. Because AI can scale these effects, identifying and reducing bias is essential for fair, trustworthy systems, especially in areas like lending, hiring, and healthcare.