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The role of artificial intelligence in achieving the Sustainable Development Goals

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Review , Journal , Other literature type 13 Jan 2020Embargo end date: 01 Jan 2019 United States Publisher:Springer Science and Business Media LLCJournal:Nature Communications, volume 11 (eissn: 2041-1723,

Authors: Ricardo Vinuesa; Hossein Azizpour; Iolanda Leite; Madeline Balaam; Virginia Dignum; Sami Domisch; Anna Felländer; +3 Authors

doi: 10.1038/s41467-019-14108-y , 10.48550/arxiv.1905.00501

pmid: 31932590

pmc: PMC6957485

arXiv: 1905.00501

handle: 1721.1/132377 , 1721.1/132377.2

The role of artificial intelligence in achieving the Sustainable Development Goals

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Abstract

AbstractThe emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI needs to be supported by the necessary regulatory insight and oversight for AI-based technologies to enable sustainable development. Failure to do so could result in gaps in transparency, safety, and ethical standards.

Country

United States

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BC3 BASQUE CENTRE FOR CLIMATE CHANGE - KLIMA ALDAKETA IKERGAI
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University of Otago
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Leibniz-Institute for Freshwater Ecology and Inland Fisheries
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Massachusetts Institute of Technology
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Keywords

FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Science, Q, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computers and Society (cs.CY)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1K
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.01%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.01%