Research
* denotes equal contribution.
Identifying Harm in Personalized, Generative AI Systems Require User-Centered Auditing at the Interaction Level
Hannah Cha
To appear at HEAL @ CHI 2026
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i
Dora Zhao, Hannah Cha, Michael J. Ryan, Rachel Baker-Ramos, Evyn-Bree Helekahi-Kaiwi, Rebecca Diego, Josiah Hester, Diyi Yang
To Appear in CHI 2026
Effects of Generative AI Errors on User Reliance Across Task Difficulty
Jacy Reese Anthis, Hannah Cha, Solon Barocas, Alexandra Chouldechova, Jake Hofman
To Appear in CHI Posters 2026
Broadening Applications: Grounding LLM Development in Potential User Needs
Kaitlyn Zhou, Kristina Gligoric, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Hannah Cha, Dan Jurafsky​
arXiV Preprint.
Implementability of Information Elicitation Mechanisms with Pre-Trained Language Models
Zachary Robertson, Hannah Cha, Andrew Sheha, Sanmi Koyejo​
TF2M @ ICML 2024
MARPLE: A Benchmark for Long-Horizon Inference
Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha., Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg​
NeurIPS 2024 D&B
ShapeCraft: Body-Aware and Semantics-Aware 3D Object Design
Michelle Guo*, Mia Tang*, Hannah Cha, Ruohan Zhang, Karen Liu, Jiajun Wu ​
WACV 2024
Whodunnit? Inferring what happened from multimodal evidence
Sarah Wu, Erik Brockbank, Hannah Cha, Jan-Philipp Fränken, Emily Jin, Zhuoyi Huang, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg​
CogSci 2024
Jack Scala, Hannah Cha, Kiarash Shamardani, Emma Rashes, Lehi Acosta-Alvarez, Rishi Mediratta​
In BMC Medical Education (2024)