Hong Shen
Scholar

Hong Shen

Google Scholar ID: iwytZ2wAAAAJ
Assistant Professor, Carnegie Mellon University
human-computer interactionsocial computingcommunicationspublic policy
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Citations & Impact
All-time
Citations
1,755
 
H-index
18
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Publications
11 items
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark
2026
Cited
0
Misgendering as Breakdown in Human-Machine Communication: How AI Companion Chatbot Users Experience and Repair Misgendering
2026
Cited
0
The Addictive Intimacy of AI: Understanding User Disengagement from AI Companions and Why Some Relationships with AI Become Difficult to Leave
2026
Cited
0
Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Design Implications
2026
Cited
0
Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain
2026
Cited
0
Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios
2026
Cited
0
What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
2026
Cited
0
Situated, Dynamic, and Subjective: Envisioning the Design of Theory-of-Mind-Enabled Everyday AI with Industry Practitioners
2026
Cited
0
Resume
Academic Achievements
  • - Best Paper Award at CHI 2023
  • - Best Paper Award at HCOMP 2024
  • - 2024 Google Research Scholar Award
  • - 2024 Microsoft Research AI & Society Fellow
  • - Grants from National Science Foundation, Amazon Research, Cisco Research, Google Research, Microsoft Research, Open Philanthropy, and more
Research Experience
  • Assistant Professor in the Human-Computer Interaction Institute at Carnegie Mellon University, where he directs the CARE (Collective AI Research and Evaluation) Lab. Also part of the CMU-NIST Cooperative Research Center on AI Measurement Science & Engineering (AIMSEC).
Education
  • PhD from the University of Illinois at Urbana-Champaign
Background
  • Interdisciplinary scholar at the intersection of human-computer interaction, artificial intelligence, and public policy, focusing on the social, ethical, and policy implications of digital platforms and algorithmic systems.