Bias in AI refers to the systematic and unfair discrimination embedded in AI systems, often resulting from biased training data or flawed algorithmic design. It can lead to perpetuating stereotypes, unequal treatment, and inaccurate outcomes, impacting decision-making in critical areas such as hiring, law enforcement, and healthcare.