Journals adopt AI to spot duplicated images in manuscripts

AI software that spots duplicated images in research papers can work faster and on a larger scale than manual checkers -- but still needs editorial oversight.Credit: Laurence Dutton/Getty Just before a study appears in any of ten journals published by the American Association for Cancer Research (AACR), it undergoes an unusual extra check. Since January 2021, the AACR has been using artificial intelligence (AI) software on all manuscripts it has provisionally accepted after peer review. The aim is to automatically alert editors to duplicated images, including those in which parts have been rotated, filtered, flipped or stretched. The AACR is an early adopter in what could become a trend. Hoping to avoid publishing papers with images that have been doctored -- whether because of outright fraud or inappropriate attempts to beautify findings -- many journals have hired people to manually scan submitted manuscripts for issues, often using software to help check what they find. But Nature has learnt that in the past year, at least four publishers have started automating the process by relying on AI software to spot duplications and partial duplications before manuscripts are published.