Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The role of artificial intelligence in achieving the Sustainable Development Goals
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0001-6570-5499
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-5211-6388
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-2212-4325
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
Show others and affiliations
2020 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 11, no 1, article id 233Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2020. Vol. 11, no 1, article id 233
National Category
Robotics Environmental Sciences
Identifiers
URN: urn:nbn:se:kth:diva-269019DOI: 10.1038/s41467-019-14108-yISI: 000511916800011PubMedID: 31932590Scopus ID: 2-s2.0-85077785900OAI: oai:DiVA.org:kth-269019DiVA, id: diva2:1414885
Note

QC 20200316

Available from: 2020-03-16 Created: 2020-03-16 Last updated: 2020-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records BETA

Vinuesa, RicardoAzizpour, HosseinLeite, IolandaBalaam, MadelineTegmark, MaxNerini, Francesco Fuso

Search in DiVA

By author/editor
Vinuesa, RicardoAzizpour, HosseinLeite, IolandaBalaam, MadelineTegmark, MaxNerini, Francesco Fuso
By organisation
Linné Flow Center, FLOWFluid Mechanics and Engineering AcousticsRobotics, Perception and Learning, RPLMedia Technology and Interaction Design, MIDEnergy Systems Analysis
In the same journal
Nature Communications
RoboticsEnvironmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf