A UK study aims to find out whether artificial intelligence could ease the peer-review process for the country’s Research Excellence Framework.
the results of which were published in May 2022, more than 185,000 research outputs were evaluated from more than 76,000 academics based at 157 UK institutions. The results will determine how approximately £2 billion of funding is distributed among UK institutions each year.
The funders that carry out the REF handed over peer-review data from just under 150,000 scientific papers to Mike Thelwall, a data scientist at the University of Wolverhampton, UK. These papers had been evaluated as part of the latest REF. Such data, outlining scores given to individual journal articles, are usually destroyed.
It seems “incredibly obvious and plausible” that AI should have a role in the REF process, says Eamon Duede, who studies the use of AI technologies in science at the University of Chicago in Illinois. “It’s just not entirely clear what that role is.” But Suede disagrees that AI should be used to assign scores to manuscripts. “I think this is a mistake.
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