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Artificial intellig...
Artificial intelligence, systemic risks, and sustainability
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- Galaz, Victor (författare)
- Stockholms universitet,Stockholm Resilience Centre,Royal Swedish Academy of Sciences, Sweden
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Centeno, Miguel A. (författare)
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Callahan, Peter W. (författare)
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visa fler...
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Causevic, Amar (författare)
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Patterson, Thayer (författare)
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Brass, Irina (författare)
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Baum, Seth (författare)
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Farber, Darryl (författare)
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Fischer, Joern (författare)
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Garcia, David (författare)
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- McPhearson, Timon (författare)
- Stockholms universitet,Stockholm Resilience Centre,Royal Swedish Academy of Sciences, Sweden; Urban Systems Lab, USA; Cary Institute of Ecosystem Studies, USA
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Jimenez, Daniel (författare)
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King, Brian (författare)
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Larcey, Paul (författare)
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Levy, Karen (författare)
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(creator_code:org_t)
- Elsevier BV, 2021
- 2021
- Engelska.
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Ingår i: Technology in society. - : Elsevier BV. - 0160-791X .- 1879-3274. ; 67
- Relaterad länk:
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https://doi.org/10.1...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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. 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.
Ämnesord
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Artificial intelligence
- Climate change
- Sustainability
- Systemic risks
- Anthropocene
- Resilience
- Social-ecological systems
- Automation
- Digitalization
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Galaz, Victor
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Centeno, Miguel ...
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Callahan, Peter ...
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Causevic, Amar
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Patterson, Thaye ...
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Brass, Irina
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visa fler...
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Baum, Seth
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Farber, Darryl
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Fischer, Joern
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Garcia, David
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McPhearson, Timo ...
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Jimenez, Daniel
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King, Brian
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Larcey, Paul
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Levy, Karen
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visa färre...
- Om ämnet
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- SAMHÄLLSVETENSKAP
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SAMHÄLLSVETENSKA ...
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och Annan samhällsve ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
- Artiklar i publikationen
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Technology in so ...
- Av lärosätet
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Stockholms universitet