With the introduction of AI, low-barrier online data collection methods are experiencing an existential new threat to their integrity.
What if you could create plausible survey data with a few clicks?
What if bots influence online surveys to push a certain narrative?
What if this is already happening?
Join us for this panel discussion on the impact of AI on the research integrity of online surveys. We'll be discussing how the increasing use of Artificial Intelligence (both by bots and human participants) to complete surveys is compromising the integrity of research data. We will analyze whether the trend to simply collect more data still leads to better research outcomes when data authenticity is at risk or if a pivot into a new way of research is required.
The panel consists of:
- dr. Philipp Masur (FSH)
- prof. Reinout de Vries (FBMS)
- dr. Anna Bon (BETA)
Networking drinks are available after the panel session.
In case you are interested in diving in deeper before the panel discussion, here are some relevant readings:
- Sean J. Westwood, 2025, “The potential existential threat of large language models to online survey research” (PNAS, also see this Bluesky thread)
- Claire Zulkey, 2024, “AI-generated survey responses could make research less accurate – and a lot less interesting” (Stanford Report)