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AI Personal Assistants and Sustainability: Risks and Opportunities

Name: AI Personal Assistants and Sustainability: Risks and Opportunities
Keywords: 570, Conservation of Natural Resources, Energy, Green chemistry, Sustainability, Artificial Intelligence, Humans, Climate change, 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie, Wastes

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 18 Apr 2024Embargo end date: 06 May 2024 Germany Publisher:American Chemical Society (ACS)Journal:Environmental Science & Technology, volume 58, pages 7,237-7,239 (issn: 0013-936X, eissn: 1520-5851,

Authors: Matthias C. Rillig; Atoosa Kasirzadeh;

doi: 10.1021/acs.est.4c03300 , 10.17169/refubium-43038

pmid: 38634356

pmc: PMC11064216

AI Personal Assistants and Sustainability: Risks and Opportunities

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Country

Germany

Related Organizations

Freie Universität Berlin
Germany
The Alan Turing Institute
United Kingdom
Berlin Brandenburg Institute of Advanced Biodiversity Research
Germany
University of Edinburgh
United Kingdom
The Alan Turing Institute
United Kingdom

Keywords

570, Conservation of Natural Resources, Energy, Green chemistry, Sustainability, Artificial Intelligence, Humans, Climate change, 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie, Wastes

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Green

hybrid

Related to Research communities

Energy Research