Scholar
Chenhao Tan
Google Scholar ID: KGMaP18AAAAJ
University of Chicago
Citations & Impact
Citations
7,898
H-index
36
i10-index
79
Publications
20
Co-authors
111
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published 'Literature Meets Data: A Synergistic Approach to Hypothesis Generation'; 'Hypothesis Generation with Large Language Models'; 'Machine Explanations and Human Understanding' which won the Best Paper Award at the ICML 2022 Workshop on Human-Machine Collaboration and Teaming; 'Learning Human-Compatible Representations for Case-Based Decision Support'; Co-organizes an online seminar on AI & Scientific Discovery.
Research Experience
- Visiting scientist at Abridge; Focuses on how to build an effective communication protocol between humans and AI; Explores helping AI understand human goals and assist humans in specifying their goals; Develops complementary AI that accounts for human intuitions/biases; Works on making powerful AI interpretable.
Background
- Associate Professor at the Department of Computer Science and Data Science at the University of Chicago; Directs the Chicago Human+AI lab (CHAI); Research interests lie in bringing together social sciences and machine learning to develop the best AI for humans. Applications include scientific discoveries, healthcare, and governance and democratic processes.
Miscellany
- Blog post 'The Mirage of Autonomous AI Scientists'; Developed a communication game called HR Simulator™; Involved in PhD program admissions.
