Artificial intelligence, systemic risks, and sustainability
| Autor: | Timon McPhearson, Peter W. Callahan, Joern Fischer, Karen Levy, Brian King, Irina Brass, Thayer S. Patterson, David Garcia, Amar Causevic, Seth D. Baum, Paul Larcey, Darryl Farber, Victor Galaz, Miguel Angel Centeno, Daniel Jiménez |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Marine conservation
Artificial intelligence Sociology and Political Science Human Factors and Ergonomics Education Automation Artificial intelligence Climate change Sustainability Systemic risks Anthropocene Resilience Social-ecological systems Automation Digitalization Anthropocene Systemic risk Climate change Business and International Management Resilience (network) Environmental planning Resilience business.industry Social-ecological systems Corporate governance Digitalization Predictive analytics Sustainability Software deployment ddc:320 Allocative efficiency business Systemic risks |
| Zdroj: | Galaz, V, Centeno, M A, Callahan, P W, Causevic, A, Patterson, T, Brass, I, Baum, S, Farber, D, Fischer, J, Garcia, D, McPhearson, T, Jimenez, D, King, B, Larcey, P & Levy, K 2021, ' Artificial intelligence, systemic risks, and sustainability ', Technology in Society, vol. 67, 101741 . https://doi.org/10.1016/j.techsoc.2021.101741 |
| DOI: | 10.1016/j.techsoc.2021.101741 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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