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Challenges and Opportunities of Artificial Intelligence in the Media: A Theoretical Approach

  • Cristián Londoño-Proaño
  • , Jorge Buele*
  • *Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This study explores the challenges and opportunities presented by artificial intelligence (AI) in the media, specifically in newspapers, radio and television. AI is transforming these industries by automating processes such as news generation, transcription, and content personalization. The aim of this article is to identify, explore and analyze the main advances of AI in the media industry. In the end, the challenges and the effects on audiences are raised. The methodology employed includes a descriptive and analytical approach, based on the analysis of annual reports and case studies of media that have implemented AI. Among the results obtained, the growth in the use of AI to generate automated and personalized content, as well as the integration of virtual presenters, stands out. However, concerns also emerge about the spread of misinformation and the ethical handling of personal data. In conclusion, AI offers significant operational advantages for the media, but it is crucial to balance its implementation with strong ethical management to ensure information quality and protect the rights of audiences.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems, ICITS 2025
EditoresAlvaro Rocha, Carlos Ferrás, Hiram Calvo
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas358-366
Número de páginas9
ISBN (versión impresa)9783031931055
DOI
EstadoPublicada - 2025
Publicado de forma externa
EventoInternational Conference on Information Technology and Systems, ICITS 2025 - Mexico City, México
Duración: 22 ene. 202525 ene. 2025

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1448 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia o congreso

Conferencia o congresoInternational Conference on Information Technology and Systems, ICITS 2025
País/TerritorioMéxico
CiudadMexico City
Período22/01/2525/01/25

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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