Risks and Benefits of Large Language Models for the Environment

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTRisks and Benefits of Large Language Models for the EnvironmentMatthias C. Rillig*Matthias C. RilligFreie Universität Berlin, Institute for Biology, 14195 Berlin, GermanyBerlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany*email protectedMore by Matthias C. RilligView Biographyhttps://orcid.org/0000-0003-3541-7853, Marlene ÅgerstrandMarlene ÅgerstrandDepartment of Environmental Science, Stockholm University, SE-106 91 Stockholm, SwedenMore by Marlene Ågerstrand, Mohan BiMohan BiFreie Universität Berlin, Institute for Biology, 14195 Berlin, GermanyBerlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, GermanyMore by Mohan Bi, Kenneth A. GouldKenneth A. GouldDepartment of Sociology, Brooklyn College, City University of New York, 2900 Bedford Avenue, Brooklyn, New York 11210, United StatesMore by Kenneth A. Gould, and Uli SauerlandUli SauerlandLeibniz-Centre General Linguistics (ZAS), Schützenstrasse 18, 10117 Berlin, GermanyMore by Uli SauerlandCite this: Environ. Sci. Technol. 2023, 57, 9, 3464–3466Publication Date (Web):February 23, 2023Publication History Received9 February 2023Published online23 February 2023Published inissue 7 March 2023https://pubs.acs.org/doi/10.1021/acs.est.3c01106https://doi.org/10.1021/acs.est.3c01106article-commentaryACS PublicationsCopyright © 2023 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views18265Altmetric-Citations5LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (2 MB) Get e-Alertsclose Get e-Alerts