AI Bias

AI bias occurs when artificial intelligence systems make unfair or skewed decisions because of biases present in their training data or design. Since AI learns from the information it’s given, any prejudices, stereotypes, or incomplete data can influence its outputs, leading to outcomes that may disadvantage certain groups or misrepresent reality. This bias can unintentionally reinforce societal inequalities or produce inaccurate results. Addressing AI bias involves careful data selection, ongoing testing, and adjusting algorithms to promote fairness, accuracy, and trustworthiness in AI-driven decisions.