Instruction: Describe strategies for enhancing the explainability of AI systems that integrate multiple types of data or models.
Context: This question explores the candidate's approach to tackling the complexity of explainability in multi-modal AI systems, which combine various data types and model architectures.
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The way I'd approach it in an interview is this: Multi-modal systems are harder to explain because they combine different input types, such as text, image, audio, or structured data, and their interactions can matter as much as any one modality. A useful explanation has to show not...