Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Artificial intelligence, systemic risks, and sustainability

Victor Galaz; Miguel Ángel Centeno; Peter W. Callahan; Amar Causevic; Thayer Patterson; Irina Brass; Seth D. Baum; Darryl Farber; Joern Fischer; David García; Timon McPhearson; Daniel Jiménez; B. R. King; Paul Larcey; Karen Levy

Technology in Society · 2021

Read source ↗ All evidence

Summary

Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments and private actors perceive and respond to climate and ecological change. Methods based on various forms of artificial intelligence are already today being applied in a number of research fields related to climate change and environmental monitoring. Investments into applications of these technologies in agriculture, forestry and the extraction of marine resources also seem to be increasing rapidly. Despite a growing interest in, and deployment of AI-technologies in domains critical for sustainability, few have explored possible systemic risks in depth.

Source type
Peer-reviewed study
DOI
10.1016/j.techsoc.2021.101741
Catalogue ID
NRmo9rin9c-0vz
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.