Science communication with generative AI

Amanda Alvarez; Aylin Caliskan; M. J. Crockett; Shirley S. Ho; Lisa Messeri; Jevin West

doi:10.1038/s41562-024-01846-3

Science communication with generative AI

Amanda Alvarez^*, Aylin Caliskan^*, M. J. Crockett^*, Shirley S. Ho^*, Lisa Messeri^*, Jevin West^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Generative AI tools can quickly translate or summarize large volumes of complex information. This technology could revolutionize the way that we communicate science, but there are many reasons for caution. We asked six experts about the potential and pitfalls of generative AI for science communication.

Original language	English
Pages (from-to)	625-627
Number of pages	3
Journal	Nature Human Behaviour
Volume	8
Issue number	4
DOIs	https://doi.org/10.1038/s41562-024-01846-3
Publication status	Published - Apr 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© Springer Nature Limited 2024.

ASJC Scopus Subject Areas

Social Psychology
Experimental and Cognitive Psychology
Behavioral Neuroscience

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10.1038/s41562-024-01846-3

Cite this

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author = "Amanda Alvarez and Aylin Caliskan and Crockett, {M. J.} and Ho, {Shirley S.} and Lisa Messeri and Jevin West",

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Science communication with generative AI

Abstract

Bibliographical note

ASJC Scopus Subject Areas

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