Projects AI & Media Lab
AI tada: Automated indexing of historical television data
The project aims at creating an audio-visual timeline of Dutch television programming by integrating three datasets of Beeld en Geluid.
Archive of the Future
The "Archive of the Future" uses artificial intelligence to make more than 500 broadcasts made since 2002 available and searchable in new ways.
BETTER-MODS: Better informing citizens about current debates
The BETTER-MODS project is a collaboration between Tilburg University, the KNAW Meertens Institute, Utrecht University and NU.nl. It consists of two PhD projects, one at Tilburg University and one at the Meertens Institute, which both focus on improving the online discussion platform of NU.nl.
Bots of Trust - An Interdisciplinary Discourse
The interdisciplinary study critically examines how citizens’ interactions with Conversational Agents such as chatbots and voice bots shape trust in public organisations.
Designing Responsible AI for Media Applications
We focus on supporting and guiding media companies in embedding in their organizations, and in the design, development and deployment, of responsible AI applications, by developing domain-specific ethical tools.
From black box to glass box journalism
AI for transparent selection and verification of (relevant, diverse and reliable) information.
Game design, AI, system Modeling: Long-term consumer and community empowerment in energy
Developing integrated tools as the shared platform between citizens and the energy system.
Journalism & Democracy: Evaluating the Quality of News Reporting on COVID-19 in the Netherlands
Analysing Dutch newspapers' coronavirus coverage and its impact on democracy
Journalistic Inquiry on Public Debates
The aim of this project is to investigate how state-of-the-art language models can be fruitfully applied for journalistic inquiry, not only to offer better journalistic products, but also for investigative journalism.
SPRONG Responsible Applied AI
The SPRONG group conducts research on how to implement AI in a responsible way.