I'm interested in the intersection between psychology and AI. My recent work has looked at the potential that LLMs could persuade or manipulate people, as well as evaluating LLMs at the False Belief task, other theory of mind tasks, and the Turing test.
Jones, C. R. & Bergen, B. (2025). Large Language Models Pass the Turing Test. [preprint]
Jones, C. R. & Bergen, B. (2024). Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models. [preprint]
Jones, C. R., Trott, S., & Bergen, B. (2024). Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME). Transactions of the Association of Computational Linguistics. [preprint]
Trott, S.*, Jones, C. R.*, Chang, T., Michaelov, M., & Bergen, B. (2023). Do Large Language Models know what humans know?. Cognitive Science, 47(7). [*equal contribution] [paper]
AI passed the Turing Test -- And No One Noticed. Sabine Hossenfelder
Understanding, Grounding, and Reference in LLMs, with Sean Trott. The Gradient Podcast
Does GPT-3 Have a Theory of Mind? Cognitive Science Society Blog