Semantic Scholar Open Access 2021 340 sitasi

Artificial intelligence, systemic risks, and sustainability

V. Galaz M. Centeno Peter W. Callahan Amar Causevic Thayer S. Patterson +10 lainnya

Lihat Sumber DOI

Abstrak

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

Penulis (15)

V. Galaz

M. Centeno

Peter W. Callahan

Amar Causevic

Thayer S. Patterson

I. Brass

S. Baum

D. Farber

J. Fischer

David García

T. McPhearson

Daniel Jimenez

B. King

P. Larcey

Karen Levy

Format Sitasi

APA MLA BibTeX

Galaz, V., Centeno, M., Callahan, P.W., Causevic, A., Patterson, T.S., Brass, I. et al. (2021). Artificial intelligence, systemic risks, and sustainability. https://doi.org/10.1016/j.techsoc.2021.101741

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.techsoc.2021.101741

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 340×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.techsoc.2021.101741
Akses: Open Access ✓