bias in artificial intelligence

Bias in artificial intelligence refers to when an AI system produces unfair or skewed results because of patterns in the data it was trained on. If the training data reflects existing prejudices or lacks diversity, the AI may unintentionally favor certain groups or outcomes. This can lead to unfair decisions in areas like hiring, lending, or law enforcement. Addressing bias involves carefully selecting and reviewing training data, and designing algorithms that recognize and counteract these biases to promote fairness and accuracy in AI outcomes.