Systematic distortions in artificial intelligence models that produce unfair, discriminatory, or unrepresentative outputs relative to training data or the application context. Includes algorithmic bias, dataset bias, confirmation bias, selection bias, and representation bias, with impacts on fairness, reliability, and regulatory compliance of AI systems.