Guest editorial: Distributed ledger technologies and artificial intelligence

Autores
Quesada Real, José Francisco; Rojão Laurenço Azevedo, Ana Isabel; Medina, Oscar Carlos
Año de publicación
2025
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
The convergence of DLT and AI offers a promising framework to address these challenges. As decentralized trust infrastructures, DLTs can enhance the transparency and integrity of AI systems by validating identities, certifying data provenance and securing sensitive assets such as contracts, medical records and intellectual property. The Special Issue “Distributed Ledger Technologies and Artificial Intelligence” aims to offer a dedicated forum for researchers exploring the intersection of these two rapidly evolving fields. A total of 13 submissions were received, and following a rigorous double blind peer review process, with at least three reviews per manuscript, three articles were selected for publication.
Fil: Quesada Real, José Francisco. University of Jaén. Department of Computer Science; España.
Fil: Rojão Laurenço Azevedo, Ana Isabel. Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administraçao do Porto; Portugal.
Fil: Medina, Oscar Carlos. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Departamento de Ingeniería en Sistemas de Información: Argentina.
Peer Reviewed
Fuente
International Journal of Web Information Systems 21(5): 565(2025)
Materia
Blockchain
Distributed ledger technologies
Artificial Intelligence
DLT
IA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivs 2.5 Argentina
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/15157
Acceder
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network_acronym_str RIAUTN
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spelling Guest editorial: Distributed ledger technologies and artificial intelligenceQuesada Real, José FranciscoRojão Laurenço Azevedo, Ana IsabelMedina, Oscar CarlosBlockchainDistributed ledger technologiesArtificial IntelligenceDLTIAThe convergence of DLT and AI offers a promising framework to address these challenges. As decentralized trust infrastructures, DLTs can enhance the transparency and integrity of AI systems by validating identities, certifying data provenance and securing sensitive assets such as contracts, medical records and intellectual property. The Special Issue “Distributed Ledger Technologies and Artificial Intelligence” aims to offer a dedicated forum for researchers exploring the intersection of these two rapidly evolving fields. A total of 13 submissions were received, and following a rigorous double blind peer review process, with at least three reviews per manuscript, three articles were selected for publication.Fil: Quesada Real, José Francisco. University of Jaén. Department of Computer Science; España.Fil: Rojão Laurenço Azevedo, Ana Isabel. Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administraçao do Porto; Portugal.Fil: Medina, Oscar Carlos. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Departamento de Ingeniería en Sistemas de Información: Argentina.Peer ReviewedEmerald Publishing2026-06-11T19:03:48Z2025info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibropdfapplication/pdfInternational Journal Web Information Systemshttps://hdl.handle.net/20.500.12272/1515710.1108/IJWIS-10-2025-399International Journal of Web Information Systems 21(5): 565(2025)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacionalenginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 2.5 Argentinahttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/Quesada Real, José Francisco; Rojão Laurenço Azevedo, Ana Isabel; Medina, Oscar Carloshttps://creativecommons.org/licenses/by-nc-nd/4.0/2026-09-24T12:47:46Zoai:ria.utn.edu.ar:20.500.12272/15157instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:47.744Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Guest editorial: Distributed ledger technologies and artificial intelligence
title Guest editorial: Distributed ledger technologies and artificial intelligence
spellingShingle Guest editorial: Distributed ledger technologies and artificial intelligence
Quesada Real, José Francisco
Blockchain
Distributed ledger technologies
Artificial Intelligence
DLT
IA
title_short Guest editorial: Distributed ledger technologies and artificial intelligence
title_full Guest editorial: Distributed ledger technologies and artificial intelligence
title_fullStr Guest editorial: Distributed ledger technologies and artificial intelligence
title_full_unstemmed Guest editorial: Distributed ledger technologies and artificial intelligence
title_sort Guest editorial: Distributed ledger technologies and artificial intelligence
dc.creator.none.fl_str_mv Quesada Real, José Francisco
Rojão Laurenço Azevedo, Ana Isabel
Medina, Oscar Carlos
author Quesada Real, José Francisco
author_facet Quesada Real, José Francisco
Rojão Laurenço Azevedo, Ana Isabel
Medina, Oscar Carlos
author_role author
author2 Rojão Laurenço Azevedo, Ana Isabel
Medina, Oscar Carlos
author2_role author
author
dc.subject.none.fl_str_mv Blockchain
Distributed ledger technologies
Artificial Intelligence
DLT
IA
topic Blockchain
Distributed ledger technologies
Artificial Intelligence
DLT
IA
dc.description.none.fl_txt_mv The convergence of DLT and AI offers a promising framework to address these challenges. As decentralized trust infrastructures, DLTs can enhance the transparency and integrity of AI systems by validating identities, certifying data provenance and securing sensitive assets such as contracts, medical records and intellectual property. The Special Issue “Distributed Ledger Technologies and Artificial Intelligence” aims to offer a dedicated forum for researchers exploring the intersection of these two rapidly evolving fields. A total of 13 submissions were received, and following a rigorous double blind peer review process, with at least three reviews per manuscript, three articles were selected for publication.
Fil: Quesada Real, José Francisco. University of Jaén. Department of Computer Science; España.
Fil: Rojão Laurenço Azevedo, Ana Isabel. Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administraçao do Porto; Portugal.
Fil: Medina, Oscar Carlos. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Departamento de Ingeniería en Sistemas de Información: Argentina.
Peer Reviewed
description The convergence of DLT and AI offers a promising framework to address these challenges. As decentralized trust infrastructures, DLTs can enhance the transparency and integrity of AI systems by validating identities, certifying data provenance and securing sensitive assets such as contracts, medical records and intellectual property. The Special Issue “Distributed Ledger Technologies and Artificial Intelligence” aims to offer a dedicated forum for researchers exploring the intersection of these two rapidly evolving fields. A total of 13 submissions were received, and following a rigorous double blind peer review process, with at least three reviews per manuscript, three articles were selected for publication.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026-06-11T19:03:48Z
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv International Journal Web Information Systems
https://hdl.handle.net/20.500.12272/15157
10.1108/IJWIS-10-2025-399
identifier_str_mv International Journal Web Information Systems
10.1108/IJWIS-10-2025-399
url https://hdl.handle.net/20.500.12272/15157
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 2.5 Argentina
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Quesada Real, José Francisco; Rojão Laurenço Azevedo, Ana Isabel; Medina, Oscar Carlos
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 2.5 Argentina
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Quesada Real, José Francisco; Rojão Laurenço Azevedo, Ana Isabel; Medina, Oscar Carlos
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Emerald Publishing
publisher.none.fl_str_mv Emerald Publishing
dc.source.none.fl_str_mv International Journal of Web Information Systems 21(5): 565(2025)
reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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