Chenhao Tan Research Group

The University of Chicago

How can AI explanations and interactions be designed so humans make better decisions with machine assistance? The Chicago Human + AI (CHAI) Lab builds algorithms to align AI explanations with human interpretation to improve human-AI decision making. The group analyzes large textual datasets and natural experiments to understand how language shapes human decisions, such as persuasion and bargaining. Researchers develop decision-focused summarization and delegation methods so AI highlights the most decision-relevant information for people. The lab explores few-shot learning from human explanations to enable people to efficiently improve large language models.