23 October: Are AI detection tools effective? TRIED puts them to the test

23 October

Generative AI is spreading fast, creating content that’s increasingly hard to verify. Journalists, fact-checkers, and other information actors need reliable tools to detect AI-generated content, but in the real world, most AI detection tools fall short.

The good news? TRIED (Truly Innovative and Effective AI Detection Benchmark) is here. Developed by WITNESS, TRIED tests AI detection tools where it matters most, evaluating them for real-world effectiveness, innovation, and contextual relevance.

In this webinar, Zuzanna Wojciak shows how TRIED draws on insights from the Deepfakes Rapid Response Force (DRRF) to provide a practical, sociotechnical framework that helps.

Watch the replay here:

Speakers:

Zuzanna Wojciak, Program Associate, Technology Threats and Opportunities, WITNESS Zuzanna is the Program Associate at the Technology Threats and Opportunities team at WITNESS, where she supports the work around synthetic media detection and the running of the Deepfakes Rapid Response Force. Prior to joining WITNESS, she worked on the AI and Human Rights project based at Queen Mary University of London where she focused on the human rights impact of the use of emerging technologies in policing and the long-term societal dimension of AI-related harm.

Moderator:

Raquel Miguel Serrano, Senior Researcher, EU DisinfoLab Raquel Miguel Serrano is a senior researcher at EU DisinfoLab. She has a background in journalism and spent most of her professional career working for the German press agency DPA until 2019, when she shifted her focus to disinformation. Raquel received a Master’s degree in Cyber Intelligence, and began working with the EU DisinfoLab. She is the author of multiple articles, mainly focused on mis- and disinformation circulating in Spain and Germany, but also on more comprehensive topics such as the impact risk of online disinformation or pre-bunking as a tool to counter information disorders. Recently, she has been working in other areas, such as FIMI or the challenges posed by generative AI.

The opinions expressed are those of the speakers/authors and do not necessarily reflect the position of EU DisinfoLab. This webinar does not represent an endorsement by EU DisinfoLab of any organisation.