Nicholas Polson, a statistician and professor at the University of Chicago Booth School of Business, has sparked debate after producing more than 200 research papers and being associated with 14 books in 2026. Polson has acknowledged using AI to assist with his work, saying that it makes routine research tasks much easier and allows him to work faster. The controversy intensified when SSRN removed 257 papers associated with Polson and froze the accounts used to submit them. While several papers reportedly lacked AI-use disclosures, SSRN said its primary concern was the unusual volume and pattern of submissions. Researchers have also questioned whether such a large number of papers can maintain the expected standards of academic quality. The episode highlights a broader challenge for academia. AI can help researchers with literature searches, data exploration and other routine tasks, but excessive or careless use could also result in fabricated citations, plagiarism, repetitive research and errors in analysis. Meanwhile, the growing number of submissions is placing additional pressure on already-strained peer-review systems. Polson insists that AI has simply accelerated his work and that he has genuinely worked on the problems addressed in his papers. The controversy ultimately raises a larger question for academia: As AI makes research faster and easier to produce, how can the academic system ensure that scholarship remains original, reliable and meaningful
