AI evaluation refers to the process of assessing the performance, reliability, and effectiveness of an artificial intelligence system. This involves measuring how well the AI model achieves its intended goals using quantitative metrics (such as accuracy, precision, recall, or F1 score) and qualitative criteria (such as fairness, interpretability, robustness, and safety). The purpose of AI evaluation is to ensure that the AI system performs as expected, generalizes to new data, and aligns with ethical and practical standards before deployment.