Explain the differences and use cases for global versus local interpretability in AI.
Instruction: Discuss the distinctions between global and local interpretability and provide examples of when each is most appropriately applied.
Context: This question aims to test the candidate's knowledge of interpretability techniques at different levels and their ability to apply this knowledge in real-world scenarios.
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The way I'd explain it in an interview is this: Global interpretability is about understanding overall model behavior: which features matter broadly, what patterns the system has learned, and where it tends to perform well or poorly...
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