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American Focus > Blog > Tech and Science > MIT disavows doctoral student paper on AI’s productivity benefits
Tech and Science

MIT disavows doctoral student paper on AI’s productivity benefits

Last updated: May 17, 2025 1:08 pm
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MIT disavows doctoral student paper on AI’s productivity benefits
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MIT Urges Withdrawal of Controversial AI Research Paper

In a shocking turn of events, MIT has called for the withdrawal of a high-profile paper that delves into the impact of artificial intelligence on the productivity of a materials science lab. Citing concerns about the “integrity” of the research, the university has deemed the paper unfit for public discourse.

The paper in question, titled “Artificial Intelligence, Scientific Discovery, and Product Innovation,” was penned by a doctoral student in MIT’s economics program. It purportedly demonstrated that the introduction of an AI tool in a materials science lab resulted in the discovery of more materials and an increase in patent filings. However, it also indicated a decrease in researchers’ satisfaction with their work.

Renowned MIT economists Daron Acemoglu and David Autor initially lauded the paper, with Autor expressing his astonishment in an interview with the Wall Street Journal. Nevertheless, in a recent statement, Acemoglu and Autor voiced their lack of confidence in the data’s reliability and the research’s validity.

The skepticism surrounding the paper arose when a computer scientist specializing in materials science raised concerns to Acemoglu and Autor earlier this year. Subsequently, MIT conducted an internal review, the results of which remain undisclosed due to student privacy laws. However, the university confirmed that the paper’s author, identified as Aidan Toner-Rodgers, is no longer affiliated with MIT.

MIT has also taken steps to have the paper withdrawn from The Quarterly Journal of Economics and the preprint website arXiv. Despite the university’s request, the author has yet to initiate the withdrawal process on arXiv.

See also  Plans to genetically screen newborns for rare diseases are problematic

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