AI can crack double blind peer review – should we still use it?

Artificial intelligence models are particularly good at pattern matching, one potential application of this is the development of tools that detect and identify author styles, a situation that has implications for nominally blind peer review processes. Drawing on a recent study, Leonard Bauersfeld, Angel Romero, Manasi Muglikar and Davide Scaramuzza show how this could be … Continued