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Article . 2025
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¿Qué opina la Inteligencia Artificial de su aplicación en unidades de información?

Authors: Carabantes Alarcón, David;

¿Qué opina la Inteligencia Artificial de su aplicación en unidades de información?

Abstract

Objetivo del estudio: en esta Carta al Editor se recoge la visión de las propias herramientas de inteligencia artificial (IA) generativas sobre las aplicaciones de la IA en las Unidades de Información (UI). Metodología: manejo de los modelos de lenguaje más habituales para conocer la utilidad de la IA en bibliotecas, centros de documentación y archivos. Principales hallazgos: se indica que la IA permite transformar las prácticas tradicionales de gestión de la información, mejorando algunos de los sistemas y ofreciendo nuevas oportunidades como son la automatización de procesos, la mejora del acceso a la información y la personalización de los servicios para los usuarios. Discusión: el análisis de las respuestas ofrecidas por los diferentes sistemas de IA usados recogen coincidencias en algunos elementos básicos sobre la aplicación de la IA en las UI y resaltan cuestiones relacionadas con la privacidad, desafíos éticos y prácticos. Conclusiones: resulta necesaria la actualización de los profesionales de la información en este ámbito para que puedan adaptarse a los cambios y necesidades provocadas por la IA.

Country
Spain
Related Organizations
Keywords

Inteligencia Artificial, Unidades de información

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities