More and more scientists use artificial intelligence (AI) to help write research papers, and journal editors and conference managers, faced with ballooning submissions, are drawing a line: Using AI to polish a paper’s text is okay, if disclosed, but producing the entire paper with AI is not. To enforce that rule, some gatekeepers are running submissions through AI-text detectors, but these tools can make mistakes—for example, labeling entire papers as computer-generated when authors used AI only to lightly edit the product.
Last week, researchers unveiled a novel approach to detecting AI provenance that they say largely avoids these shortcomings. Called IdeaLens, it focuses on whether a paper’s ideas—and not just the prose—came from a human or a machine.
“This is a completely new kind of detector and certainly represents an advance in the field, as it's a novel idea executed well,” says Max Spero, CEO of Pangram, which offers one of the major commercial AI text detectors.
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