AI talent's movement to industry is raising concerns about the future researcher workforce and maintaining ethical expertise
), the authors used researcher affiliations in nearly 800,000 AI papers, published between 2000 and 2020, to show how the flow of top researchers from academia to industry has grown steadily over the past decade. In 2019, they identified more than 400 researchers whose affiliation changed from a university to a tech company, compared with just over 200 researchers who switched from industry to academia. The authors are revising the paper with plans to submit it for peer review.
AI researchers might also lose some intellectual freedom when moving to a big tech company, Jurowetzki says. In their paper, he and co-authors point to the “critical requirement” of maintaining a “public sphere” for AI research that does not have to “balance academic integrity with commercial interests”. The size and influence of this public sphere could be “threatened by the sustained flow of researchers from academia to industry”, they warn.
Gofman and Jin determined that 70 of the 211 researchers who left their academic positions maintained some sort of university affiliation. Such dual appointments are increasingly common, but they are a mixed blessing for universities; the data suggest an even greater decline in future start-ups when a researcher maintains a university affiliation instead of cutting ties completely.
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