Umang Bhatt

Umang is an Assistant Professor at the Cambridge Institute for Technology and Humanity (ITH) and its Centre for Human-Inspired Artificial Intelligence (CHIA). His research focuses on building trustworthy artificial intelligence (AI) systems for high-stakes deployment. He develops algorithms and tools that support effective human-AI interaction and manage the partnership between people and AI systems. Drawing on machine learning, cognitive science, philosophy, and law, Umang studies when and how AI systems can be trusted, integrated into human decision-making, and evaluated in ecologically valid settings. His group uses lab and field experiments to assess societal impacts of AI in various domains, with particular attention to healthcare, education, and national security, where human oversight of AI is essential.
 

Born and raised in Basking Ridge, New Jersey (USA), Umang earned his BS and MS at Carnegie Mellon University and his PhD in the Machine Learning Group at Cambridge. He was previously an Assistant Professor and Faculty Fellow at New York University’s Center for Data Science and a Senior Research Associate at The Alan Turing Institute. His work has been supported by the Responsible AI Institute, the Mozilla Foundation, and the Partnership on AI.