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Angie Zhang

PhD Candidate, UT Austin iSchool
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About

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Currently on the academic job market for tenure-track assistant professor and post-doc positions starting Summer/Fall 2026 :) Open to positions globally! 

Keywords: Human-Centered AI Design ‣ Workplaces ‣ Tech Policy ‣ Data Ethics & Literacy
I research how to advance human-centered AI design. I believe that working with stakeholders to surface context and inform the development and implications of technology is incredibly important in light of increasingly sophisticated AI being deployed across society without sufficient consideration of use cases and impacted communities. Thus, I focus on:
  1. Using co-design methods to understand how individuals and communities interact with and are impacted by technology and AI; and
  2. Developing methods and prototyping tools to support participatory AI design with diverse stakeholders, including non-AI experts. 
I am advised by Dr. Min Kyung Lee, and I am a member of the Human-AI Interaction Lab at the UT Austin iSchool. You can check out my wedding photography work here or here!

Recent News

Oct 22, 2025

Received an ACM CSCW Best Paper Honorable Mention for "Data and Technology for Equitable Public Administration: Understanding City Government Employees' Challenges and Needs"! Co-authored with UT Good Systems collaborators.

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Jul 16, 2025

Grateful for the opportunity to present on "Worker-Centered Tech Design" at Roosevelt Institute's forum "AI for Workers: Power, Voice, and Equity in New Tech" in D.C., and collaborate with labor scholars and worker-organizers.

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Recent Publications

Gig2Gether: Datasharing to Empower, Unify and Demystify Gig Work

Jane Hsieh, Angie Zhang, Sajel Surati, Sijia Xie, Yeshua Ayala, Nithila Sathiya, Tzu-Sheng Kuo, Min Kyung Lee, Haiyi Zhu

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025, pp. 1--25

Knowledge Workers' Perspectives on AI Training for Responsible AI Use

Angie Zhang, Min Kyung Lee

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025, pp. 1--18

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