Risks and Benefits of Large Language Models for the Environment

Matthias C Rillig; Marlene Ågerstrand; Mohan Bi; Kenneth A Gould; Uli Sauerland

doi:10.1021/acs.est.3c01106

Risks and Benefits of Large Language Models for the Environment

Environ Sci Technol. 2023 Mar 7;57(9):3464-3466. doi: 10.1021/acs.est.3c01106. Epub 2023 Feb 23.

Authors

Matthias C Rillig^{1

2}, Marlene Ågerstrand³, Mohan Bi^{1

2}, Kenneth A Gould⁴, Uli Sauerland⁵

Affiliations

¹ Freie Universität Berlin, Institute for Biology, 14195 Berlin, Germany.
² Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany.
³ Department of Environmental Science, Stockholm University, SE-106 91 Stockholm, Sweden.
⁴ Department of Sociology, Brooklyn College, City University of New York, 2900 Bedford Avenue, Brooklyn, New York 11210, United States.
⁵ Leibniz-Centre General Linguistics (ZAS), Schützenstrasse 18, 10117 Berlin, Germany.

PMID: 36821477
DOI: 10.1021/acs.est.3c01106

No abstract available

Keywords: ChatGPT; artificial intelligence; digital divide; environmental education; environmental impact; environmental literacy; large language models.

MeSH terms

Language*
Risk Assessment