Instruction: Outline an ethical framework for deploying Large Language Models in sensitive applications, such as healthcare or legal advice, that considers potential risks, biases, and the need for transparency and accountability.
Context: This question challenges the candidate to think critically about the ethical dimensions of LLM deployment. It calls for a nuanced understanding of the potential for harm and the strategies for mitigating such risks in applications where mistakes could have serious consequences.
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The way I'd approach it in an interview is this: For sensitive applications, I would build the framework around use-case limitation, human accountability, validation rigor, and recourse. The first question should be whether the LLM belongs in the workflow at all, not how quickly...