Debate over the use of artificial intelligence, already touching everything from admissions to grading, has reached peer reviewing, as academics balance technological uncertainty and ethical concerns with potential solutions for persistent peer-review problems. “We’re seeing the human peer-review system is really stressed,” said James Zou, an assistant professor of biomedical science data at Stanford University. “The number of papers have increased by several-fold over the last few years, and it’s challenging to find a lot of high-quality reviewers who have the time and expertise to review the paper.”
