Chaeyun Jang

What ultimately motivates my research is a form of inequality that comes not from access to AI, but from differences in how people are able to use it (Hargittai, 2002; Lee et al., 2026). As models become more capable, they can widen the gap between users who know how to test, question, and guide them toward deeper answers and users who receive more generic responses.

One research direction toward addressing this gap is LLM calibration. I study how language models can better recognize and express what they do not know, so that their uncertainty helps users reason more carefully instead of simply making the model sound confident.