Implicit neural measures of trust in artificial intelligence

Dr. Tobias Feldmann-Wüstefeld from the BRAINS, MINDS and BOTS Lab at the Technische Universität Berlin will speak at the Structure and Cognition Cluster meeting.

A participant completes a visual task on a screen while her brain activity is measured using an EEG cap. A robot next to the screen represents the AI ​​system with which the experiment is being conducted.

Photo: Technische Universität Berlin

Tobias Feldmann-Wüstefeld will talk about his recent research at the Brain, Minds and Bots Lab from the Chair of Cognitive Psychology and Cognitive Ergonomics.

Research Profile - TU Berlin

He and Professor Dr. Eva Wiese showed for the first time that cognitive offloading to an Artificial Intelligence (AI) can be tracked in the brain using electroencephalography (EEG) and that neural markers for visual attention and working memory can be used to measure trust in AI.

Visible in EEG for the First Time: How Trust in AI Is Built - TU Berlin

He will also talk about how limited cognitive resources benefit from cognitive offloading and how trust calibration can be optimized using EEG, and how EEG as an objective measure of trust in AI systems can complement subjective self reports of trust.

Online participation

Please contact Sabine Leske for Zoom link.

Bio

Tobias Feldmann-Wüstefeld studied Psychology at the Technische Universität Berlin and did a PhD in Systemic Neurosciences at the Ludwig-Maximilians-Universität München and the University of Marburg. He worked among other places at the Visual attention & Working memory lab, University of Chicago and the University of Southampton.

His main research interests include human-machine interaction, trust in artificial intelligence, visual attention, visual working memory, learning and reward, which he investigates using event-related potentials of the EEG, inverted encoding models and psychophysics.

Organiser

RITMO
Published May 29, 2026 11:01 AM - Last modified June 1, 2026 12:04 PM