A new academic ‘humanizer’ tool aims to personalize the tone of research papers written with an artificial-intelligence program, in part by erasing apparent signs of AI usage. Some researchers praise the tool — but others are voicing concerns.
The tool, released on 20 June, is tailored for “papers and grant proposals”, according to its developer, Jie Ding, a machine-learning researcher at the University of Minnesota in Minneapolis. It can be used to “match the author’s own voice”, according to the GitHub site for the tool, which lists under “core principles” the need to “strip the AI tells without casualizing”.
The new humanizer is “not sophisticated,” says Max Spero, chief executive of a firm in New York City that produces an AI-detection platform called Pangram. In his initial tests of ‘humanized’ text, Pangram caught most of the AI-generated language — although not all of it. Spero says that upgraded versions of Pangram are being designed specifically to detect humanizer use.
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