Write a Copyright Risk Memo for a Foundation-Model Lab's Training Set

Shipping an AI feature is less like launching a button and more like releasing a new colleague into the company. AI product managers decide what that colleague is good at, where it shouldn't be trusted yet, and how to measure whether it's actually helping. The work blends classic product instincts — talking to users, sequencing roadmaps — with new muscles around evaluation metrics, annotation strategy, and the economics of inference. Strong PMs in this space write crisp definitions of done that include precision and recall alongside user outcomes. Students grow into this role by learning to read a model evaluation the way they'd read a usability test: with curiosity about what the numbers are hiding.

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