AI bias refers to systematic and unfair favoritism or prejudice in the behavior or decisions of an artificial intelligence system, often resulting from biased data, flawed algorithms, or uneven representation in training datasets. It can lead to outcomes that disadvantage certain groups or individuals based on characteristics such as gender, race, or socioeconomic status.