Final answer:
An explainable model preserves privacy by providing clear and understandable explanations for its predictions or decisions. The correct answer is option A.
Step-by-step explanation:
An explainable model in the context of computer science and machine learning refers to a model that can provide clear and understandable explanations for its predictions or decisions. One benefit of an explainable model is that privacy is preserved. Unlike black-box models, where it is difficult to understand how a decision is made, explainable models provide transparency and allow individuals to understand why a certain prediction or decision was made without revealing sensitive information. This is especially important in applications where privacy is a concern, such as healthcare or finance.