We are examining impactful ways of AI-user interaction to make AI processes more effective, e.g., by giving users agency beyond contestability and enabling them to adapt and help shape the internal AI mechanisms.

We investigate different XAI methods to look into the black box of AI decisions and design and evaluate intuitive explanatory representations of the AI decision for comprehensibility.
 

Drawing on AI, neuroscience, and neurophysiological findings and tools, we aim to better understand the development, use, and impact of information systems.