Artificial intelligence and sustainability: Solutions to social and environmental challenges

Taghikhah, F; Erfani, E; Bakhshayeshi, I; Tayari, S; Karatopouzis, A; Hanna, B

Artificial intelligence and sustainability: Solutions to social and environmental challenges

Taghikhah, F

Erfani, E

Bakhshayeshi, I Tayari, S

Karatopouzis, A Hanna, B

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Artificial Intelligence and Data Science in Environmental Sensing, 2022, pp. 93-108
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Taghikhah, F https://orcid.org/0000-0002-0851-6816
dc.contributor.author	Erfani, E https://orcid.org/0000-0001-5232-9295
dc.contributor.author	Bakhshayeshi, I
dc.contributor.author	Tayari, S https://orcid.org/0000-0002-8581-5932
dc.contributor.author	Karatopouzis, A
dc.contributor.author	Hanna, B https://orcid.org/0000-0003-3935-7712
dc.date.accessioned	2023-06-30T02:37:01Z
dc.date.available	2023-06-30T02:37:01Z
dc.date.issued	2022-01-01
dc.identifier.citation	Artificial Intelligence and Data Science in Environmental Sensing, 2022, pp. 93-108
dc.identifier.isbn	9780323905077
dc.identifier.uri	http://hdl.handle.net/10453/171025
dc.description.abstract	Human-induced climate change and deterioration of our natural environment are critical problems. Advanced technologies, such as artificial intelligence (AI), offer potential for the development of solutions. Machines that learn by acquiring knowledge and perform human-like tasks can help humans reduce their intense use of natural resources and improve environmental governance for more sustainable living. This chapter provides evidence of AI’s potential to create new opportunities to overcome major socioenvironmental challenges, using two case studies. The first case study explains how machine intelligence can support the design and implementation of interventions for promoting proenvironmental behavior in societies. The next section discusses AI-powered strategies for efficient management of wildfires and renewable energy production. The conclusions offer insights into the ability of AI to influence larger trends in global sustainability and suggest data-driven interventions and leadership strategies to accelerate progress in combating climate change.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Artificial Intelligence and Data Science in Environmental Sensing
dc.relation.isbasedon	10.1016/B978-0-323-90508-4.00006-X
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Artificial intelligence and sustainability: Solutions to social and environmental challenges
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences/School of Communication
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-06-30T02:37:00Z
pubs.publication-status	Published

Abstract:

Human-induced climate change and deterioration of our natural environment are critical problems. Advanced technologies, such as artificial intelligence (AI), offer potential for the development of solutions. Machines that learn by acquiring knowledge and perform human-like tasks can help humans reduce their intense use of natural resources and improve environmental governance for more sustainable living. This chapter provides evidence of AI’s potential to create new opportunities to overcome major socioenvironmental challenges, using two case studies. The first case study explains how machine intelligence can support the design and implementation of interventions for promoting proenvironmental behavior in societies. The next section discusses AI-powered strategies for efficient management of wildfires and renewable energy production. The conclusions offer insights into the ability of AI to influence larger trends in global sustainability and suggest data-driven interventions and leadership strategies to accelerate progress in combating climate change.

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http://hdl.handle.net/10453/171025