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Driving media innovation through collaborative artificial intelligence
Journal of Digital Media Management,
13
(3),
234-245
(2025)
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
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Author's Biography
Alexandre Rouxel is a senior project manager in the Technology and Innovation of the European Broadcasting Union (EBU). In this role, he coordinates collaborative developments in artificial intelligence and data with EBU members, and leads the development of the AI Hub and algorithms for media content analysis, tagging and enrichment. In international projects, he serves as the task leader responsible for specifying the ontology to exchange media content in the Trusted European Media Data Space. He also contributes to standards development through SMPTE, with a focus on AI and metadata. Before joining the EBU, he spent 20 years working as an algorithm and systems engineer at Nasdaq-listed companies, where he designed algorithms for products and contributed to industry standards.
Alberto Messina leads research into the application of artificial intelligence at RAI’s Research and Development Unit. In this role, he coordinates research and development and innovation activities in various fields including archive information management, automated production, intelligent unmanned aerial vehicle systems, advanced digital accessibility and publishing services. A former professor at the Polytechnic of Turin, Alberto holds a degree in electronic engineering and a PhD in business and management with specialisation in computer science, and is the author of more than 100 scientific publications. He has worked on numerous projects funded by the European Commission, and is an active participant in multiple international standardisation bodies, including MPEG and the European Broadcasting Union.
Ivan Thomas is Head of Research and Development within the Digital Department of Radio France. With a strong background in digital media and technology innovation, Ivan leads a team dedicated to advancing Radio France’s digital capabilities. Their work focuses on developing cutting-edge solutions to enhance user experience, like the semi-automatic segmentation of podcasts or the detection of highlights.
Tatjana Mladenovic is a lead data manager at the BBC’s Archive Technology & Services department. She also chairs the EBU AI and Metadata group. She has more than 20 years of experience in the field of metadata for media, having held roles in engineering, data analytics and management. Her professional interests include the automation of data processes, data modelling and data quality.
