Instruction: Discuss the frameworks and processes you would put in place for governing ML models in production.
Context: This question assesses the candidate's ability to establish and maintain governance over ML models, ensuring compliance, transparency, and accountability in their lifecycle.
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The way I'd approach it in an interview is this: Model governance starts with ownership, documentation, approval policies, and risk classification. Every production model should have a clear owner, intended use, validation record, monitoring plan, and a defined...