Bias refers to prejudice in favor of or against certain individuals, groups, or outcomes, often leading to unfair results. This bias can arise from various sources, such as the training data used, the algorithm’s design, or human intervention during development. When AI systems inherit or amplify these biases, they can perpetuate discrimination and produce unjust decisions. Tackling bias is essential for creating fair, ethical, and inclusive AI systems that work for everyone.