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      The role of artificial intelligence in achieving the Sustainable Development Goals

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          Abstract

          The 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.

          Abstract

          Artificial intelligence (AI) is becoming more and more common in people’s lives. Here, the authors use an expert elicitation method to understand how AI may affect the achievement of the Sustainable Development Goals.

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          Mapping synergies and trade-offs between energy and the Sustainable Development Goals

          Francesco Fuso Nerini, Julia Tomei, Long Seng To … (2018)
          Article 0 comments Cited 220 times – based on 0 reviews     Review now
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            The social dilemma of autonomous vehicles

            J.-F. Bonnefon, A. Shariff, I. Rahwan (2016)
            Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of utilitarian AVs (that is, AVs that sacrifice their passengers for the greater good) and would like others to buy them, but they would themselves prefer to ride in AVs that protect their passengers at all costs. The study participants disapprove of enforcing utilitarian regulations for AVs and would be less willing to buy such an AV. Accordingly, regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology.
            Article 0 comments Cited 181 times – based on 0 reviews     Review now
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              The mythos of model interpretability

              Zachary C. Lipton (2018)
              Article 0 comments Cited 106 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Ricardo Vinuesa:
                ORCID: http://orcid.org/0000-0001-6570-5499
                rvinuesa@mech.kth.se
                Francesco Fuso Nerini:
                ORCID: http://orcid.org/0000-0002-4770-4051
                francesco.fusonerini@energy.kth.se
                Journal
                Journal ID (nlm-ta): Nat Commun
                Journal ID (iso-abbrev): Nat Commun
                Title: Nature Communications
                Publisher: Nature Publishing Group UK (London )
                ISSN (Electronic): 2041-1723
                Publication date (Electronic): 13 January 2020
                Publication date PMC-release: 13 January 2020
                Publication date Collection: 2020
                Volume: 11
                Affiliations
                [1 ]Linné FLOW Centre, KTH Mechanics, SE-100 44 Stockholm, Sweden
                [2 ]ISNI 0000000121581746, GRID grid.5037.1, Division of Robotics, Perception, and Learning, School of EECS, , KTH Royal Institute Of Technology, ; Stockholm, Sweden
                [3 ]ISNI 0000000121581746, GRID grid.5037.1, Division of Media Technology and Interaction Design, , KTH Royal Institute of Technology, ; Lindstedtsvägen 3, Stockholm, Sweden
                [4 ]ISNI 0000 0001 1034 3451, GRID grid.12650.30, Responsible AI Group, Department of Computing Sciences, , Umeå University, ; SE-90358 Umeå, Sweden
                [5 ]ISNI 0000 0001 2108 8097, GRID grid.419247.d, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, ; Müggelseedamm 310, 12587 Berlin, Germany
                [6 ]AI Sustainability Center, SE-114 34 Stockholm, Sweden
                [7 ]ISNI 0000 0001 2002 0998, GRID grid.423984.0, Basque Centre for Climate Change (BC3), ; 48940 Leioa, Spain
                [8 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, Department of Zoology, , University of Otago, ; 340 Great King Street, 9016 Dunedin, New Zealand
                [9 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Center for Brains, Minds and Machines, , Massachusetts Institute of Technology, ; Cambridge, Massachusetts 02139 USA
                [10 ]ISNI 0000000121581746, GRID grid.5037.1, Unit of Energy Systems Analysis (dESA), , KTH Royal Institute of Technology, ; Brinellvagen, 68SE-1004 Stockholm, Sweden
                Article
                Publisher ID: 14108
                DOI: 10.1038/s41467-019-14108-y
                PMC ID: 6957485
                PubMed ID: 31911652
                SO-VID: 60dbbb1a-51e6-44b7-b7c5-f50f7ce97ec2
                Copyright statement: © The Author(s) 2020
                License:

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 3 May 2019
                Date accepted : 16 December 2019
                Categories
                Subject: Perspective
                Custom metadata
                issue-copyright-statement © The Author(s) 2020

                ScienceOpen disciplines: Uncategorized
                Keywords: computational science,developing world,energy efficiency
                Data availability:
                ScienceOpen disciplines: Uncategorized
                Keywords: computational science, developing world, energy efficiency

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