Angie Zhang

PhD Student @ UT Austin



School of Information

University of Texas at Austin



Angie Zhang

PhD Student @ UT Austin


Contact

Angie Zhang

PhD Student @ UT Austin



School of Information

University of Texas at Austin




About


I research how to design and develop technologies that support equitable and inclusive outcomes of human-AI interaction. I believe that working with stakeholders to surface context and inform the development 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 frameworks and prototyping tools to support participatory AI design with diverse stakeholders, including non-AI experts. 
My current projects encompass: participatory AI design & provenance ‣ workplace technology and knowledge making ‣ tech policy of local governments.
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!

Publications


Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes


Angie Zhang, Alexander Boltz, Jonathan Lynn, Chun-Wei Wang, Min Kyung Lee

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, pp. 1--19


Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation


Angie Zhang, Olympia Walker, Kaci Nguyen, Jiajun Dai, Anqing Chen, Min Kyung Lee

Proceedings of the ACM on Human-Computer Interaction, vol. 7, ACM New York, NY, USA, 2023, pp. 1--32


Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation


Chenyan Jia, Alexander Boltz, Angie Zhang, Anqing Chen, Min Kyung Lee

Proceedings of the ACM on Human-Computer Interaction, vol. 6, ACM New York, NY, USA, 2022, pp. 1--27


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