About
Umang Bhatt is an Assistant Professor at the University of Cambridge, based in the Institute of Technology and Humanity (ITH) and its Centre for Human-Inspired AI (CHIA). He is also a Fellow in Computer Science at King’s College, Cambridge. His research focuses on trustworthy artificial intelligence, spanning algorithms for human-AI collaboration, user studies for evaluating large language models, and methods to enhance transparency and fairness in AI systems.
Previously, Umang was an Assistant Professor & Faculty Fellow at the Center for Data Science at New York University and a Senior Research Associate in Safe and Ethical AI at the Alan Turing Institute. His research has been supported by fellowships from JP Morgan Chase and the Mozilla Foundation. He has also served as a Research Fellow at the Partnership on AI, a Summer Fellow at Harvard’s Center for Research on Computation and Society, and an Advisor to the Responsible AI Institute.
Umang completed his PhD in the Machine Learning Group in the Department of Engineering at the University of Cambridge, supported by generous funding from Google DeepMind and the Leverhulme Trust. He also holds an MS and BS in Electrical and Computer Engineering from Carnegie Mellon University.
Umang’s group designs artificial intelligence systems that are trustworthy, transparent, and collaborative. We hope to harness AI to help people make better decisions without losing agency or skill. Our work builds tools and methods that enable people to work effectively and safely with machine learning models in real-world contexts.
Research Areas
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- Responsible AI (i.e., fairness, transparency, privacy)
- Human-AI collaboration
- Sociotechnical evaluation of AI workflows
- Skill atrophy and cognitive impact of AI use
- Global AI deployment
Prospective Students
Umang will be launching his research group in Michaelmas 2025. He is always open to new enthusiastic PhD students and exceptional postdoctoral scholars. If you are interested in joining, then please reach out.