Tuck Knowledge in Practice
In this episode of the Tuck Knowledge in Practice podcast, Tuck professors Alva Taylor [https://tuck.dartmouth.edu/faculty/faculty-directory/alva-h-taylor] and Rob Shumsky [https://tuck.dartmouth.edu/faculty/faculty-directory/robert-a-shumsky] explore a counterintuitive risk of artificial intelligence: not that it fails, but that it succeeds just enough to make us stop thinking. In their working paper with Tuck professor James Siderius [https://tuck.dartmouth.edu/faculty/faculty-directory/james-siderius], they examine how working alongside AI can subtly erode human expertise over time—a phenomenon they call “skill decay.” Drawing on research in operations and organizational behavior, the conversation highlights a critical danger zone: when AI performance is inconsistent but generally reliable. In this middle ground, people are more likely to disengage, pass along outputs without scrutiny, and gradually lose the very skills needed to catch mistakes. They discuss how this dynamic plays out across industries, from healthcare to consulting, and explain why traditional approaches to training and incentives may no longer be sufficient. They also offer practical insights for leaders: don’t just evaluate AI outputs, but test whether your people can still spot errors, maintain expertise, and stay engaged.
23 episodios
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