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Driving media innovation through collaborative artificial intelligence

Author

Listed:
  • Rouxel, Alexandre

    (Department of Technology and Innovation, Switzerland)

  • Messina, Alberto

    (Media & AI, Centro Ricerche, Italy)

  • Thomas, Ivan

    (Radio France, France)

  • Mladenovic, Tatjana

    (Archive Technology & Services, UK)

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.

Suggested Citation

  • Rouxel, Alexandre & Messina, Alberto & Thomas, Ivan & Mladenovic, Tatjana, 2025. "Driving media innovation through collaborative artificial intelligence," Journal of Digital Media Management, Henry Stewart Publications, vol. 13(3), pages 234-245, March.
    • Handle: RePEc:aza:jdmm00:y:2025:v:13:i:3:p:234-245
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    More about this item

    Keywords

    AI; generative AI; media; user-centric; evaluation; radio programme; facial recognition; disinformation;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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