Recordings Vol.2
VUC Welcomes New Chair
Louise Broch steps in as Commission Chair
Recordings Vol.2

Last May, the FIAT/IFTA Media Management Commission (MMC) and BBC hosted the Media Management Seminar 2025 in Cardiff, Wales.
The 12th edition of FIAT/IFTA’s Changing Sceneries, Changing Roles seminars had “AI and Human Collaboration: Partners in Archiving?” as its theme.
Over the following weeks, the recordings from the Media Management Seminar will be published on the FIAT/IFTA website and YouTube page. Three video presentations will be shared weekly each Friday, with the final recording being shared on Friday, August 29th, 2025.
This week’s sessions are:
You can access all current and future recordings on the Media Management Seminar 2025 page.
Where do your pixels come from? Reliable media provenance to reduce disinformation risks
by Charlie Halford (BBC)
BBC
AI involvement in media creation and editing is now commonplace, and humans are unable to reliably discern AI generated media from that which is captured with a camera. We will examine the different places where AI and other, less advanced editing techniques have the potential to harm, and how the BBC R&D has co-developed the “Content Credentials” technical specification to help address them. We’ll cover the transparent disclosure of the “ingredients” and “actions” involved in producing media, and how we identify whether AI has been used. We’ll look at the different uses of media provenance: capture and ingest, storage and retrieval, and how consumers might make use of this extra information.
Charlie Halford is a Principal Research Engineer in the BBC’s Research & Development department, where he works as part of the Advisory Team, which does longer term technology and media industry trend forecasting and analysis and produces technical strategy recommendations for the rest of the BBC. As part of this, he leads the BBC’s work on “Project Origin”, a technical standard co-founded and developed by the BBC that seeks to address the dangers of disinformation on the internet by providing secure media provenance. His background is in software engineering and architecture, where he has spent a significant proportion of his career working with content management and publishing technologies. At the BBC, he has been lucky enough to combine that expertise with a love for citizen empowerment and public service journalism.
Easier Comprehension of Archive Items with Automated Content Summaries
by Lauri Saarikoski and Ronja Halter
YLE
This presentation takes you through the development of automated content summaries done by the radio archive team at Yle, the Finnish Broadcasting Company. Building on our previous work in speech recognition, during 2024 we focused on creating content summaries from transcripts, aiming for high automation levels and backwards compatible metadata. We would like to share, from a practical perspective, what we have learned on topics such as comparing different LLMs and their parameters, building prompts, and deciding on what the summaries should look like. For broader context, the presentation also provides an update on current AI-related topics and plans at Yle Archives, and how projects such as this can be shared with and adopted by other teams.
Lauri Saarikoski serves as Development Manager for the Archives at Yle, the Finnish Broadcasting Company. He provides expert support to various archive teams in such areas as operational and technical planning, strategy, cross-functional collaboration and management. With over 15 years of experience in music and media archive work, he specialises in metadata, AI and innovation activities. He actively participates in the EBU and FIAT/IFTA communities and currently focuses on media-related AI applications, process development and data economy.
Ronja Halter is an Archive Editor in the Radio Archive Team at Yle, the Finnish Broadcasting Company. With a background in language and literature studies, as well as computer science, she is enthusiastic about combining her knowledge of both humanities and technology in her work. She has been building contemporary solutions for media archive work by implementing automated and AI-assisted workflows for metadata management and creation. Outside of work, Ronja enjoys knitting, video games, and cuddling up with her two cats.
Projects and Implementations of Machine-Learning and AI at the ORF
by Gerhard Stanz
ORF
The presentation shows how innovative tools are implemented into archival user interfaces at the ORF. The examples will be out of all stages between prototype and productive use. From a more generalized perspective there will be an insight how the Company learns about the potentials of AI by use of the AIditor an award winning AI-Framework available to all ORF users.
Gerhard Stanz works at the Multimedial Archive of the ORF (Austrian Broadcasting Cooperation). He started his career as a Television Archivists in all the classical job-roles of archiving, documenting, researching in – as well as creating content out of – archive material. The informatization of the media business led him to his current job-role as “Systems Developer”. In this position he acts as an intermediary between the technical departement and archive users in operating, maintaining, troubleshooting,testing and further developing the it-infrastructure of the archive. His main responsibility at the ORF is the file-archive.