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Artificial intelligence, systemic risks, and sustainability

Author

Listed:
  • Galaz, Victor
  • Centeno, Miguel A.
  • Callahan, Peter W.
  • Causevic, Amar
  • Patterson, Thayer
  • Brass, Irina
  • Baum, Seth
  • Farber, Darryl
  • Fischer, Joern
  • Garcia, David
  • McPhearson, Timon
  • Jimenez, Daniel
  • King, Brian
  • Larcey, Paul
  • Levy, Karen

Abstract

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.

Suggested Citation

  • Galaz, Victor & Centeno, Miguel A. & Callahan, Peter W. & Causevic, Amar & Patterson, Thayer & Brass, Irina & Baum, Seth & Farber, Darryl & Fischer, Joern & Garcia, David & McPhearson, Timon & Jimenez, 2021. "Artificial intelligence, systemic risks, and sustainability," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002165
    DOI: 10.1016/j.techsoc.2021.101741
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    1. Lajoie-O'Malley, Alana & Bronson, Kelly & van der Burg, Simone & Klerkx, Laurens, 2020. "The future(s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents," Ecosystem Services, Elsevier, vol. 45(C).
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Regina Birner & Thomas Daum & Carl Pray, 2021. "Who drives the digital revolution in agriculture? A review of supply‐side trends, players and challenges," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1260-1285, December.
    4. Douglas Heaven, 2019. "Why deep-learning AIs are so easy to fool," Nature, Nature, vol. 574(7777), pages 163-166, October.
    5. Joshua Blumenstock, 2018. "Don’t forget people in the use of big data for development," Nature, Nature, vol. 561(7722), pages 170-172, September.
    6. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    7. Stephen Polasky & Kathleen Segerson, 2009. "Integrating Ecology and Economics in the Study of Ecosystem Services: Some Lessons Learned," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 409-434, September.
    8. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    9. Dirk Helbing, 2013. "Globally networked risks and how to respond," Nature, Nature, vol. 497(7447), pages 51-59, May.
    10. Graeub, Benjamin E. & Chappell, M. Jahi & Wittman, Hannah & Ledermann, Samuel & Kerr, Rachel Bezner & Gemmill-Herren, Barbara, 2016. "The State of Family Farms in the World," World Development, Elsevier, vol. 87(C), pages 1-15.
    11. M. Nyström & J.-B. Jouffray & A. V. Norström & B. Crona & P. Søgaard Jørgensen & S. R. Carpenter & Ö. Bodin & V. Galaz & C. Folke, 2019. "Anatomy and resilience of the global production ecosystem," Nature, Nature, vol. 575(7781), pages 98-108, November.
    12. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    13. Jennifer Clapp & Sarah-Louise Ruder, 2020. "Precision Technologies for Agriculture: Digital Farming, Gene-EditedCrops, and the Politics of Sustainability," Global Environmental Politics, MIT Press, vol. 20(3), pages 49-69, August.
    14. Rositsa T. Ilieva & Timon McPhearson, 2018. "Social-media data for urban sustainability," Nature Sustainability, Nature, vol. 1(10), pages 553-565, October.
    15. Engström, Emma & Strimling, Pontus, 2020. "Deep learning diffusion by infusion into preexisting technologies – Implications for users and society at large," Technology in Society, Elsevier, vol. 63(C).
    16. Bruno Basso & John Antle, 2020. "Digital agriculture to design sustainable agricultural systems," Nature Sustainability, Nature, vol. 3(4), pages 254-256, April.
    17. Lowder, Sarah K. & Skoet, Jakob & Raney, Terri, 2016. "The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide," World Development, Elsevier, vol. 87(C), pages 16-29.
    18. M. Hino & E. Benami & N. Brooks, 2018. "Machine learning for environmental monitoring," Nature Sustainability, Nature, vol. 1(10), pages 583-588, October.
    19. Robert Finger & Scott M. Swinton & Nadja El Benni & Achim Walter, 2019. "Precision Farming at the Nexus of Agricultural Production and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 313-335, October.
    20. Vincent Ricciardi & Zia Mehrabi & Hannah Wittman & Dana James & Navin Ramankutty, 2021. "Higher yields and more biodiversity on smaller farms," Nature Sustainability, Nature, vol. 4(7), pages 651-657, July.
    21. Bayne, Karen M. & Parker, Richard J., 2012. "The introduction of robotics for New Zealand forestry operations: Forest sector employee perceptions and implications," Technology in Society, Elsevier, vol. 34(2), pages 138-148.
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