04/18/2026
We are excited to share that two of our Ph.D. students presented their work at the USF AI+X Symposium 2026.
1. Can a discussion with AI make us more intellectually humble?
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You might have heard recent stories about the drawbacks of "Sycophantic AI", where chatbots give flattering and affirming responses. Instead, what if AI played the role of Socrates, who was somewhat unpopular for asking questions and probing people’s assumptions? We built a chatbot that does exactly that. Through a scaffolded conversation, it teaches people intellectually humble behaviors such as recognizing the limits of their knowledge and revising beliefs when strong evidence appears.
In a randomized experiment involving 400 participants, a short conversation with our Socratic-AI led to a measurable and durable increase in intellectual humility.
AI does not need to take away reflective agency. The same technology can make reflection easier. If chatbots are designed to flatter, they reinforce overconfidence. If they are designed to help us ask better questions, they may improve judgment.
Read more: Mahjabin and Baten (2026)
“General Intellectual Humility Is Malleable Through AI Mediated Reflective Dialogue” -- https://arxiv.org/abs/2603.23855
2. Why do negotiators fail to adapt when the situation changes?
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Negotiation training is often built around static scenarios. But real negotiations are dynamic. Power shifts. Context changes. And people do not always adapt well.
We designed a controlled human experiment where 100 participants negotiated a job offer over six rounds. Midway through the negotiation, we introduced a sudden shift in leverage. What happened next was surprising. Negotiators became more competitive, less flexible, and more likely to damage the relationship, even when these changes did not improve their outcomes.
These failure patterns from the controlled simulation offer design implications for developing AI coaching tools that enhance humans' adaptability in negotiation.
Read more: Urmi and Baten (2026)
“Strategic Adaptation Under Contextual Change: Insights from a Dyadic Negotiation Testbed for AI Coaching Technologies” -- https://arxiv.org/abs/2602.04242