Human-AI Interaction

We conduct basic psychological research on how humans interact with AI systems (including harms, benefits, and biases in AI). Here's a non-exhaustive overview of some recent papers.

For students interested in this area, you can either apply via the Cambridge Centre for Human-Inspired Artificial Intelligence or via the regular route in Psychology.

• Linegar, M., Sinclair, B., van der Linden, S., & Alvarez, R. M. (2026). Towards generalizable AI-assisted misinformation inoculation: Protecting confidence against false election narratives. Royal Society Open Science 13: 252226.
• Kyrychenko, Y., & van der Linden, S. (2026). Social technologies need societal alignment. Nature Computational Science 6, 544–546.
• Schroeder, D. T., Cha, M., Baronchelli, A., Bostrom, N., Christakis, N. A., Garcia, D., ...van der Linden, S., & Kunst, J. R. (2026). How Malicious AI Swarms Can Threaten Democracy. Science 391(6783), 354-357.
• van der Linden, S., & Kyrychenko, Y. (2026). Large language models need immunisation against misinformation. Lancet Digital Health 8(1), 100978.
• Dek, A., Kyrychenko, Y., van der Linden, S., & Roozenbeek, J. (2025). Mapping the online manipulation economy. Science 390 (6778), 1112-1114.
• Hu, T., Kyrychenko, Y., Rathje, S., Collier, N., van der Linden, S., & Roozenbeek, J. (2024). Generative language models exhibit social identity biases. Nature Computational Science, 5, 65-75.
• Kunst, J. R., Gundersen, A. B., Krysińska, I., Piasecki, J., Wójtowicz, T., Rygula, R., van der Linden, S. ... & Morzy, M. (2024). Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online. Nature Communications, 15(1), 7497.
• Götz, F. M., Maertens, R., Loomba, S., & van der Linden, S. (2023). Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development. Psychological Methods 29(3), 494–518.