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Risks and Benefits of Large Language Models for the Environment
Rillig, Matthias C.
Freie Universität Berlin, Institute for Biology, Germany;Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
ORCID iD:
0000-0003-3541-7853
Ågerstrand, Marlene
Stockholm University, Faculty of Science, Department of Environmental Science.
ORCID iD:
0000-0003-2697-2310
Bi, Mohan
Freie Universität Berlin, Institute for Biology, Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
Gould, Kenneth A.
City University of New York, New York, United States.
Sauerland, Uli
Leibniz-Centre General Linguistics (ZAS), Berlin, Germany.
Show others and affiliations
Number of Authors: 5
2023 (English)
In:
Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 57, no 9, p. 3464-3466
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2023. Vol. 57, no 9, p. 3464-3466
Keywords [en]
large language models, ChatGPT, environmental education, environmental impact, digital divide, environmental literacy, artificial intelligence
National Category
Environmental Sciences
Identifiers
URN:
urn:nbn:se:su:diva-221561
DOI:
10.1021/acs.est.3c01106
PubMedID:
36821477
Scopus ID:
2-s2.0-85148941839
OAI: oai:DiVA.org:su-221561
DiVA, id:
diva2:1799585
Available from:
2023-09-22
Created:
2023-09-22
Last updated:
2023-10-18
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