Latin American Artificial Intelligence Index (ILIA) 2025. Executive Summary

cepal.bibLevelDocumento Completo
cepal.citationThis publication should be cited as: Soto, Á., Durán, R., Moreno, A., Adasme, S., Rovira, S., Jordán, V. and Poveda, L. (Coords.) (2025). Latin American Artificial Intelligence Index (ILIA) 2025. Executive Summary. <i>Project Documents </i>(LC/TS.2025/110). Economic Commission for Latin America and the Caribbean and National Centre for Artificial Intelligence.
cepal.docTypeDocumentos de proyectos e investigación
cepal.regionalOfficeSantiago
cepal.topicEngARTIFICIAL INTELLIGENCE
cepal.topicEngDATA SCIENCE
cepal.topicEngINNOVATION, SCIENCE AND TECHNOLOGY
cepal.topicEngINFORMATION AND COMMUNICATIONS TECHNOLOGIES (ICTS)
cepal.topicSpaINTELIGENCIA ARTIFICIAL
cepal.topicSpaCIENCIA DE DATOS
cepal.topicSpaINNOVACIÓN, CIENCIA Y TECNOLOGÍA
cepal.topicSpaTECNOLOGÍAS DE LA INFORMACIÓN Y LAS COMUNICACIONES (TIC)
cepal.workareaEngPRODUCTION, PRODUCTIVITY AND MANAGEMENT
cepal.workareaSpaDESARROLLO PRODUCTIVO Y EMPRESARIAL
dc.contributor.entityNU. CEPAL
dc.coverage.spatialEngLATIN AMERICA AND THE CARIBBEAN
dc.coverage.spatialSpaAMERICA LATINA Y EL CARIBE
dc.date.accessioned2025-12-18T13:19:33Z
dc.date.available2025-12-18T13:19:33Z
dc.date.issued2025-12-18
dc.description.abstractThis 2025 edition of the Latin American Artificial Intelligence Index (ILIA) provides quantitative and qualitative data on progress in artificial intelligence (AI) in 19 countries of Latin America and the Caribbean. ILIA is fundamental for identifying achievements, gaps and opportunities for improvement in the AI ecosystems of countries across the region and an essential reference to address the main challenges of Latin America and the Caribbean in AI and digital transformation. Led by the National Centre for Artificial Intelligence (CENIA) of Chile and the Economic Commission for Latin America and the Caribbean (ECLAC), with the support of other public and private entities, the index facilitates the development of road maps for regional technological development. It is structured around three dimensions —enabling factors; research, development and adoption; and governance— and allows countries of the region to be classified into three groups according to the maturity of their ecosystems, as pioneers, adopters or explorers, providing a comprehensive view of technological progress. This analysis enables decision makers to design strategies that accelerate AI development, thereby fostering virtuous and competitive growth in the countries of the region.
dc.formatTexto
dc.format.extent17 pages
dc.format.mimetypeapplication/pdf
dc.identifier.unSymbolLC/TS.2025/110
dc.identifier.urihttps://hdl.handle.net/11362/84471
dc.language.isoeng
dc.publisherECLAC
dc.relation.translationLanguagespa
dc.relation.translationRecordÍndice Latinoamericano de Inteligencia Artificial (ILIA) 2025
dc.relation.translationUrihttps://hdl.handle.net/11362/82514
dc.subject.unbisEngARTIFICIAL INTELLIGENCE
dc.subject.unbisEngTECHNOLOGICAL INNOVATIONS
dc.subject.unbisEngDIGITAL TECHNOLOGY
dc.subject.unbisEngVOCATIONAL TRAINING
dc.subject.unbisEngHUMAN RESOURCES
dc.subject.unbisEngDIGITAL LITERACY
dc.subject.unbisEngRESEARCH AND DEVELOPMENT
dc.subject.unbisEngGOVERNANCE
dc.subject.unbisEngCIVIL SOCIETY
dc.subject.unbisEngCASE STUDIES
dc.subject.unbisSpaINTELIGENCIA ARTIFICIAL
dc.subject.unbisSpaINNOVACIONES TECNOLOGICAS
dc.subject.unbisSpaTECNOLOGIA DIGITAL
dc.subject.unbisSpaTECNOLOGIA DIGITAL
dc.subject.unbisSpaRECURSOS HUMANOS
dc.subject.unbisSpaALFABETIZACION DIGITAL
dc.subject.unbisSpaINVESTIGACION Y DESARROLLO
dc.subject.unbisSpaGOBERNABILIDAD
dc.subject.unbisSpaSOCIEDAD CIVIL
dc.subject.unbisSpaESTUDIOS DE CASOS
dc.titleLatin American Artificial Intelligence Index (ILIA) 2025. Executive Summary
dc.type.coarlibro
dc.usergrouppubweb
dspace.entity.typePublication
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