The Risks Of AI In Science, Per Princeton, Yale Professors

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The Risks Of AI In Science, Per Princeton, Yale Professors

Yale anthropologist Lisa Messeri and Princeton cognitive scientist M. J. Crockett highlight the risks associated with artificial intelligence in scientific research. They discuss how AI tools, when working as intended, may narrow the range of questions researchers ask, impacting the future of science and knowledge production. The article delves into the epistemic risks AI poses to the sciences, focusing on how knowledge is produced and the potential implications for the scientific community.

The co-authors emphasize that the concern is not about AI errors but rather about the implications when AI tools function perfectly. They question whether AI, by narrowing the scope of questions asked, could lead to unintended consequences in scientific research. Messeri and Crockett caution against the overreliance on AI in scientific endeavors, highlighting the importance of maintaining diverse perspectives and questioning the necessity of AI in all research initiatives.

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