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3 Questions: What is the best path forward for AI in academia? 3 Questions: What is the best path forward for AI in academia?

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A new essay from MIT Statistics and 数据 (Data) Science Center Director Sasha Rakhlin synthesizes recent discussions and readings about how AI is changing academia — particularly mathematics, statistics, machine learning, and engineering. He shares key questions that departments and universities need ...

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