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Artificial Intelligence can help Loss and Damage only if it is inclusive and accessible
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Industrial Engineering and Management (ITM), Centres, KTH Climate Action Centre, CAC. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics.ORCID iD: 0000-0002-4350-8790
KTH, School of Architecture and the Built Environment (ABE), Philosophy and History, History of Science, Technology and Environment.ORCID iD: 0000-0003-2616-5826
2024 (English)In: npj Climate Action, E-ISSN 2731-9814, Vol. 3, no 1, article id 59Article in journal (Refereed) Published
Abstract [en]

Loss and Damage benefits from the inclusion of Artificial Intelligence systems to support prevention and assessment. As AI research and development is highly dominated by western and private-led powers, the effectiveness of its use is limited for vulnerable countries. We call for an accessible, inclusive and locally-grounded AI to serve the needs of the most vulnerable, support Article 8 of the Paris Agreement and democratise innovation.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 3, no 1, article id 59
Keywords [en]
AI; Climate; Loss & damage;
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:kth:diva-352152DOI: 10.1038/s44168-024-00139-9ISI: 001390113500001OAI: oai:DiVA.org:kth-352152DiVA, id: diva2:1891497
Funder
European Commission, 101150729European Commission, 101150729
Note

QC 20240826

Available from: 2024-08-22 Created: 2024-08-22 Last updated: 2025-01-21Bibliographically approved

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fulltext(363 kB)70 downloads
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a77ba11b35e4fd713f0c21d86aadc549496db914faa31a3854088fdd8ffbf68673c11ee9ebea8473da193d9c37bb85bad8a19513793fe7c57f28d813a1fe583c
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Larosa, FrancescaWickberg, Adam

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CiteExportLink to record
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Citation style
  • apa
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