Instruction: Discuss the importance of explainability in multimodal AI and how you ensure your models are interpretable.
Context: The candidate should address the challenges and strategies for making multimodal AI models explainable, which is crucial for trust and transparency in AI applications.
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The way I'd explain it in an interview is this: Explainability is harder in multimodal systems because you are not only asking why the model made a prediction, but which modalities mattered, how they interacted, and whether one channel overrode another....
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