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Hong Shen

Assistant Professor
Human-Computer Interaction Institute
School of Computer Science
Carnegie Mellon University

Office: 2502C Newell-Simon Hall
Admin assistant: Reenie Kirby

📣 Prospective students and postdocs: I’m looking to grow the lab and welcome inquiries from people who are interested in social and relational AI safety, especially at the intersection of HCI and NLP. If you're interested in a postdoc position in the CARE Lab, please contact me directly with your CV and a brief note on your research interests. Prospective PhD students should apply to the HCII PhD program and mention my name in their application.

I am an Assistant Professor in the Human-Computer Interaction Institute at Carnegie Mellon University, where I direct the CARE (Collective AI Research and Evaluation) Lab. I am also part of the CMU-NIST Cooperative Research Center on AI Measurement Science & Engineering (AIMSEC). I received my PhD from the University of Illinois at Urbana-Champaign.

I'm an interdisciplinary scholar situated at the intersection of human-computer interaction, artificial Intelligence, and public policy. Broadly, I study how to make AI systems safe for the people and communities who use them, with a current focus on the social and relational harms of human–AI interaction. My work has been generously supported by the National Science Foundation, Amazon Research, Cisco Research, Google Research, Microsoft Research, Open Philanthropy, The Public Interest Technology University Network, Block Center for Technology and Society, CyLab, and more.

A complete list of my publications can be found on my Google Scholar page.


RECENT NEWS
  • 08/2026: Congratulations to our postdoctoral researcher Chelsea Wang, who will join the UC Berkeley School of Education as an Assistant Professor in January 2027!
  • 08/2026: We received a grant from the National Science Foundation to understand, detect, and mitigate social-relational harms in human-AI interactions (with Jodi Forlizzi, Maarten Sap, and Chelsea Wang).
  • 05/2026: We received two Microsoft Research AI and the New Future of Work awards for the projects "TeamCompass: AI Facilitation for Collective Intelligence" (with Laura Dabbish and Alice Qian) and "TeamFlow: AI Facilitators for Attention Curation in Team Collaboration" (with Hancheng Cao and Qing Xiao).
  • 07/2025: We received a grant from the National Science Foundation to advance participatory and community-centered AI design methods with peer-run safety-net behavioral health services.
  • 10/2024: We received a planning grant from the National Science Foundation to explore participatory AI design opportunities with peer-run mental health organizations.
  • 05/2024: We received a grant from Open Philanthropy to build a database and taxonomy of real-world LLM use cases.