Living Media
In Living Media, we collaborate with Thomas More to explore how media organisations can use generative AI to create content that continues to evolve over time, such as an article that grows as new information becomes available or adapts itself to individual readers. While the Flemish media sector currently uses AI primarily to improve efficiency, new content formats will be essential for remaining relevant in an increasingly competitive landscape dominated by large international platforms.
Supported by an advisory group of sector stakeholders, we develop and test prototypes with both content creators and audiences to determine what works in practice and how editorial teams can retain control over AI-driven content. Organisations interested in contributing ideas and participating in testing activities are welcome to join the advisory group.
Project supported by the Flemish government, the Agency for Innovation & Entrepreneurship (VLAIO), and the COOCK+ program (Collective R&D and Collective Knowledge Dissemination)
Living Media: Generative AI for New Media Formats
Problem Statement
The Flemish media sector is under pressure due to increasing foreign competition and a declining number of television subscriptions. Generative AI can help media organisations continue to reach audiences through new formats and innovative content experiences. However, most media companies currently use the technology mainly for tasks such as transcription, subtitling, and content summarisation. Applications that directly modify or generate content remain relatively rare.
Organisations that do take this next step want to ensure that content remains accurate and that editorial teams retain full control over what is published. At the same time, such applications must comply with regulatory frameworks, including the GDPR and the AI Act.
Finally, many organisations remain at the stage of isolated experiments, as they lack a structured approach for systematically testing AI solutions and scaling successful use cases across the organisation.
Objective
Content that continues to evolve is what we call Living Media. Through this project, we aim to explore when such content creates value for both creators and audiences, and what is needed to deploy it in a reliable and responsible way. We distinguish three forms:
- Stories that Grow: content that evolves as new information becomes available, such as a news story that is continuously updated as events unfold.
- Media that Flow: content that adapts to its audience, for example by tailoring itself to a user's reading level, interests, preferences, or device.
- Voices that Echo: content that enables interaction and dialogue, such as archives or knowledge repositories that users can query and engage with.
In addition, the project seeks to help media organisations move beyond isolated AI experiments towards a more structured and sustainable approach. By the end of the project, participating organisations should have the knowledge, methods, and capabilities needed to develop and implement new applications independently.
Method
An advisory group consisting of companies and organisations from the media sector will closely follow the project and contribute questions and use cases. Together with these stakeholders, we will determine which experiments to pursue based on their relevance and potential value for the wider sector.
- Exploration Phase. During the first six months, we will map promising AI tools and use cases and gather insights from content creators and audiences regarding their expectations and needs. We will identify and document reusable design solutions (design patterns) for Living Media and translate ethical and legal frameworks into practical guidelines for implementation.
- Living Lab. Following the exploration phase, we will investigate the three forms of Living Media sequentially. For each form, we will start with interviews involving members of the advisory group and develop at least two demonstrators. These demonstrators, ranging from simple simulations to fully functional software prototypes, will serve to answer our research questions. The demonstrators will be evaluated by content creators and audiences through user testing and surveys, and their quality and feasibility will be assessed by domain experts. By comparing them with static versions of the same content, we will measure the added value of adaptive content in terms of factors such as comprehension, trust, and usability.
- Strategic Framework. While the living lab activities are ongoing, we will analyse ten to fifteen international case studies, including both successful and unsuccessful implementations. Interim findings will be discussed with AI specialists, designers, editors-in-chief, and legal experts. Combined with the results of the living lab, these insights will form the basis of a practical roadmap that helps organisations progress from initial experiments to the sustainable integration of Living Media within their day-to-day operations.
Expected output
All knowledge generated through the project will be made publicly available, enabling organisations across the media sector to benefit from and build upon the results.
- Practical resources: a curated overview of relevant AI tools, a collection of use cases, a set of design patterns, an ethical compass, and a methodology for rapidly developing demonstrators using AI.
- Living Lab insights: for each form of Living Media, a report documenting success factors, challenges, lessons learned, and the technical architecture of the demonstrators.
- Strategic framework: a step-by-step roadmap outlining the capabilities, governance structures, and organisational agreements needed to implement Living Media, complemented by future scenarios presented in the report Living Media in 2040.
- Knowledge sharing: meet-ups, inspiration sessions, showcases, workshops, blog posts, and a newsletter. The project will conclude with a final event where the white paper Cultivating Living Media will be presented. The project's insights will also be integrated into our educational programmes.
Our Expertise
At Odisee, Living Media is carried out within the User Centered Experiences (UCE) research group, which investigates how digital applications and AI can be designed to better meet the needs of the people who use them. Building on our experience in the ULTRA project, we compile and validate design patterns for Living Media and lead the user testing activities. These tests are conducted, among other places, in our User Experience Lab, where eye-tracking technology enables us to analyse how people interact with digital applications. In addition, we contribute to the development of the demonstrators, including applications such as a language model that cites its sources and personalisation solutions that do not rely on stored user profiles.
Thomas More coordinates the project through its Expertise Centre for Sustainable Entrepreneurship and Digital Innovation, which has extensive experience in research on AI in media and content production, including the MediaGenie project. Within Living Media, the expertise centre is responsible for developing the strategic framework and the ethical guidelines that will support the responsible adoption of adaptive and AI-driven media applications.
Think with us. Test with us. Build with us.
Project Partner
Thomas More, Center of Expertise for Sustainable Entrepreneurship and Digital Innovation (project coordinator)
Related information
User Experience Lab: https://www.odisee.be/en/user-experience-lab
Blikopener (free initial AI consultation for SMEs): https://www.odisee.be/blikopener (Dutch)
Related project ULTRA: https://www.odisee.be/en/researchprojects/ultra
Want to know more?
Feel free to send an email, and we’ll explore the possibilities together. The meetups and sessions are open to everyone and bring together organizations with similar questions. You can find announcements on the UCE’s LinkedIn page.
Contact: Thomas Van den Bossche, Data & AI Researcher (UCE), [email protected], 0474 62 79 03
LinkedIn: