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4 cards from this section. Quick, good the night before a test.
What is global interpretability?
Think about how a model works as a whole.
Can you give an example of intrinsic interpretability?
Consider models that explain their workings straightforwardly.
What type of interpretability allows understanding of individual predictions?
Think about why understanding a single outcome matters.
True or False: Intrinsic interpretability refers to models that require additional tools to understand.
Consider how a simple model works.
Critically analyze the implications of prioritizing intrinsic interpretability when developing AI models in regulated industries.
Consider the balance between understanding and achieving high predictive accuracy.
Given a scenario where a model's local interpretability reveals gender bias, discuss the steps needed to address and rectify this issue.
Think of fairness and transparency in model training.
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