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AI tools are spotting errors in research papers
Study that hyped the toxicity of black plastic utensils inspires projects that use large language models to check papers.
Late last year, media outlets worldwide warned that black plastic cooking utensils contained worrying levels of cancer-linked flame retardants. The group, which has around eight active developers and hundreds of volunteer advisers, hasn’t made the errors public yet; instead, it is approaching the affected authors directly, says Joaquin Gulloso, an independent AI researcher based in Cartagena, Colombia, who helps to coordinate the project. Both the Black Spatula Project and YesNoError use large language models (LLMs) to spot a range of errors in papers, including ones of fact as well as in calculations, methodology and referencing.
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