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

Cristián Londoño-Proaño, Jorge Buele*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInformation Technology and Systems, ICITS 2025
EditorsAlvaro Rocha, Carlos Ferrás, Hiram Calvo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages358-366
Number of pages9
ISBN (Print)9783031931055
DOIs
StatePublished - 2025
Externally publishedYes
EventInternational Conference on Information Technology and Systems, ICITS 2025 - Mexico City, Mexico
Duration: 22 Jan 202525 Jan 2025

Publication series

NameLecture Notes in Networks and Systems
Volume1448 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Information Technology and Systems, ICITS 2025
Country/TerritoryMexico
CityMexico City
Period22/01/2525/01/25

Bibliographical note

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

Keywords

  • Artificial Intelligence
  • media
  • Media industry

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