AI bias occurs when a model produces outputs that systematically favor or disadvantage certain groups, perspectives, or outcomes — often reflecting imbalances in the data it was trained on. Bias can manifest as skewed content recommendations, discriminatory language, over- or under-representation of certain viewpoints, or inaccurate outputs for specific demographics. In marketing AI applications, bias awareness is important for ensuring that AI-generated content, ad targeting, and audience modeling are fair, accurate, and inclusive.