Driving media innovation through collaborative artificial intelligence
Alexandre Rouxel,
Alberto Messina,
Ivan Thomas and
Tatjana Mladenovic
Additional contact information
Alexandre Rouxel: Department of Technology and Innovation, Switzerland
Alberto Messina: Media & AI, Centro Ricerche, Italy
Ivan Thomas: Radio France, France
Tatjana Mladenovic: Archive Technology & Services, UK
Journal of Digital Media Management, 2025, vol. 13, issue 3, 234-245
Abstract:
The European Broadcasting Union’s AI Hub is a pioneering platform that facilitates the development and evaluation of customised AI solutions for the media industry. This collaborative ecosystem enables AI and media experts to co-create and refine artificial intelligence (AI) models designed specifically for media applications. By providing private spaces for testing AI models with proprietary content, the AI Hub guarantees comprehensive evaluations across a wide range of media content. This paper examines how these collaborative AI solutions are driving media innovation and highlights the crucial role of open source models in adapting to rapidly evolving technological landscapes. The paper will detail three key innovations: MetaRadio, which enriches radio experiences with metadata; a facial recognition system tailored for television programmes; and a Fake News Analyser designed to evaluate the reliability of news articles.
Keywords: AI; generative AI; media; user-centric; evaluation; radio programme; facial recognition; disinformation (search for similar items in EconPapers)
JEL-codes: M11 M15 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jdmm00:y:2025:v:13:i:3:p:234-245
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