"How ChatGPT and Other AI tools Could Disrupt Scientific Publishing"


In the age of LLMs, [Michael] Eisen pictures a future in which findings are published in an interactive, "paper on demand" format rather than as a static, one-size-fits-all product. In this model, users could use a generative AI tool to ask queries about the experiments, data and analyses, which would allow them to drill into the aspects of a study that are most relevant to them. It would also allow users to access a description of the results that is tailored to their needs. "I think it’s only a matter of time before we stop using single narratives as the interface between people and the results of scientific studies," says Eisen.

https://doi.org/10.1038/d41586-023-03144-w

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Author: Charles W. Bailey, Jr.

Charles W. Bailey, Jr.