Can ChatGPT be used to generate scientific hypotheses?
Yang Jeong Park, Daniel Kaplan, Zhichu Ren, C.-W. Hsu, Changhao Li, Haowei Xu, Sipei Li, Ju Li
Seoul National University Massachusetts Institute of Technology Weizmann Institute of Science JPMorgan Chase & Co (United States)
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摘要与影响
We investigate whether large language models can perform the creative hypothesis generation that human researchers regularly do. While the error rate is high, generative AI seems to be able to effectively structure vast amounts of scientific knowledge and provide interesting and testable hypotheses. The future scientific enterprise may include synergistic efforts with a swarm of “hypothesis machines”, challenged by automated experimentation and adversarial peer reviews.
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