To evaluate the accuracy of AI classification, one commonly uses a confusion matrix to calculate metrics such as precision, recall, and the F1 score, which offer insights into how well the AI model distinguishes between classes. Additionally, accuracy can be directly assessed by dividing the number of correct predictions by the total number of predictions made by the model.