Learn why Model B is more interpretable than Model A based on their structures and recommendation flows. Understand the key factors that make an AI system’s logic clear and easy to follow.
Table of Contents
Question
Clara has been brought in to evaluate an AI system. Based on the following graphic, she finds that Model B is more interpretable than Model A.
Which of the following best describes why Model B is more interpretable than Model A?
A. Model B generates recommendations without any rationale.
B. Model B employs a sophisticated algorithm for recommendations.
C. Model B’s flow is clear and easy to understand.
D. Model B relies on a complex neural network structure for recommendations.
Answer
C. Model B’s flow is clear and easy to understand.
Explanation
Interpretability in AI models depends on understanding the internal workings and mechanisms of the AI’s decision making.
Model B is depicted as a decision tree with a clear flow and binary decisions leading to outcomes, making it easy to understand how the recommendations are made. The decision points are based on clear criteria, such as whether the product is sugar-free and the flavor choices, which contributes to its interpretability.
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