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25/100

Ethan Mollick argues AI could reshape how science chooses research questions

AIMollick says academics invest heavily in each paper, so they tend to pursue predictable work likely to yield significant results. He argues AI faces no such constraint, which could force a rethink of how science is done.
Ethan MollickVerified on X
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Academics have to invest tremendous effort into a single paper, so we often work on papers that we suspect will yield interesting & significant results. But that also pushes us to predictable work.

AI has no such constraints, forcing us to rethink a lot of how science is done.

Eva Vivalt@evavivalt
New working paper: Can AI forecast treatment effects in economics from pre-registration documents? Answer: Yes. 1/
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Ethan Mollick · x.comPublished · added here

Original title: Academics have to invest tremendous effort into a single paper, so we often work on papers that we suspect will yield interesting & signi...

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