Trustworthy Information and Transparency Regarding Algorithms and Machine Learning Systems in Journalism (VITraDes)

The VITraDes project explores how the use of AI in journalism can be transparently labeled in order to maintain trust in the media and protect the public from misinformation. The project’s goal is to close this gap in journalism through the transparent labeling of AI use and to contribute to strengthening trustworthy public communication. Specifically, the project team aims to develop practical guidelines for labeling AI-generated content and create educational resources for journalists. Additionally, the project will examine how such self-regulatory approaches by the media can be adopted by online platforms. The approach is interdisciplinary and based on collaboration among experts in ethics, law, and journalism.