Bias in AI

Bias in AI refers to the tendency of artificial intelligence systems to produce results that reflect unfair prejudices or preferences, often rooted in the data they were trained on. If the data contains stereotypes or unbalanced representations, the AI may reinforce those biases in its decisions or predictions. This can lead to outcomes that are discriminatory or misleading, such as favoring one group over another in hiring, law enforcement, or healthcare. Addressing bias in AI is crucial to ensure fairness, accuracy, and trust in technology that increasingly influences our lives.