Artificial intelligence, systemic risks, and sustainability

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dc.creatorGalaz, Victor
dc.creatorCenteno, Miguel A
dc.creatorCallahan, Peter W.
dc.creatorCausevic, Amar
dc.creatorPatterson, Thayer
dc.creatorBrass, Irina
dc.creatorBaum, Seth
dc.creatorFarber, Darryl
dc.creatorFischer, Joern
dc.creatorGarcia, David
dc.creatorMcPhearson, Timon
dc.creatorJiménez, Daniel
dc.creatorKing, Brian
dc.creatorLarcey, Paul
dc.creatorLevy, Karen
dc.date2021-11
dc.date2021-09-21T16:20:04Z
dc.date2021-09-21T16:20:04Z
dc.date.accessioned2026-06-27T13:21:17Z
dc.descriptionAutomated 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. This article offers a global overview of the progress of such technologies in sectors with high impact potential for sustainability like farming, forestry and the extraction of marine resources. We also identify possible systemic risks in these domains including a) algorithmic bias and allocative harms; b) unequal access and benefits; c) cascading failures and external disruptions, and d) trade-offs between efficiency and resilience. We explore these emerging risks, identify critical questions, and discuss the limitations of current governance mechanisms in addressing AI sustainability risks in these sectors.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/115075
dc.identifier.urihttp://hdl.handle.net/123456789/56718
dc.languageen
dc.publisherElsevier
dc.rightsOpen Access
dc.sourceGalaz, V.; Centeno, M.A.; Callahan, P.W.; Causevic, A.; Patterson, T.; Brass, I.; Baum, S.; Farber, D.; Fischer, J.; Garcia, D.; McPhearson, T.; Jiménez, D.; King, B.; Larcey, P.; Levy, K. (2021) Artificial intelligence, systemic risks, and sustainability. Technology in Society 67: 101741. 10 p. ISSN: 0160-791X
dc.subjectartificial intelligence
dc.subjectclimate change
dc.subjectsustainability
dc.subjectresilience
dc.subjectautomation
dc.subjectrisk analysis
dc.subjectinteligencia artificial
dc.subjectcambio del clima
dc.subjectsostenibilidad
dc.subjecteducation
dc.titleArtificial intelligence, systemic risks, and sustainability
dc.typeJournal Article

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