Alice Qian Zhang
Alice Qian Zhang

Ph.D. Student

Hi! I am a first-year Ph.D. student in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University advised by Hong Shen and Laura Dabbish. I collaborated with Jina Suh, Mary L. Gray, and Mary Czerwinski at Microsoft Research on research focused on identifying and addressing AI harms through red teaming.

Prior to the start of my Ph.D., I was fortunate to have the opportunity to explore human-centered research across a few different institutions. At the University of Minnesota, I worked with Stevie Chancellor on mental health content moderation. At the University of Washington, I collaborated with Amy X. Zhang to study personalized content moderation. And, at Rutgers University, I worked with Shagun Jhaver examining user perspectives on content moderation.

Broadly, my research interests span the areas of AI safety, AI ethics, red teaming, content moderation, social computing, future of work, and responsible AI. I aim to build processes and tools to support the human infrastructure within AI development, enabling safer AI systems through practices such as AI red teaming. I am a recipient of the National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP).

Outside of my work, I’m passionate about mentorship, encouraging broader participation in computing, and supporting students interested in doing research. I’m always happy to chat about potential collaborations or research 😊.


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Interests
  • responsible AI ❣️
  • future of work 👩🏻‍💻
  • workplace well-being 🌱
  • social computing 🌐
Education
  • Ph.D. Computer Science

    Carnegie Mellon University

  • Bachelor of Science Computer Science

    University of Minnesota

Recent Publications
(2025). AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. Proceedings of the ACM on Human-Computer Interaction.
(2024). The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing. arXiv preprint arXiv:2407.07786.
(2023). # Pragmatic or# Clinical: Analyzing TikTok Mental Health Videos. Computer Supported Cooperative Work and Social Computing.
(2023). Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Posts. arXiv preprint arXiv:2309.06688.
(2023). Personalizing content moderation on social media: User perspectives on moderation choices, interface design, and labor. Proceedings of the ACM on Human-Computer Interaction.