TY - CHAP
T1 - Artificial intelligence and sustainability
T2 - Solutions to social and environmental challenges
AU - Taghikhah, Firouzeh
AU - Erfani, Eila
AU - Bakhshayeshi, Ivan
AU - Tayari, Sara
AU - Karatopouzis, Alexandros
AU - Hanna, Bavly
N1 - Publisher Copyright:
© 2022 Elsevier Inc. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Behavior change
KW - Bushfire management
KW - Environmental sustainability
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85131499893&partnerID=8YFLogxK
U2 - 10.1016/B978-0-323-90508-4.00006-X
DO - 10.1016/B978-0-323-90508-4.00006-X
M3 - Chapter
SN - 9780323905077
SP - 93
EP - 108
BT - Artificial Intelligence and Data Science in Environmental Sensing
PB - Elsevier
ER -