Models with visible logic help auditors understand how outputs are reached, which supports compliance efforts. The other choices focus on performance, secrecy, or reduced data requirements, which do not address the primary need for clarity in an audit setting.
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Why is explainability important in regulatory reviews?
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What are some examples of explainable AI models?
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How does explainability support compliance efforts?