Bias identification is the process of recognizing and understanding prejudices or systematic errors in data, algorithms, or human judgment that can lead to unfair outcomes. It is crucial for ensuring fairness, accuracy, and reliability in decision-making processes, particularly in fields like machine learning, hiring, and policy-making.