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Hannah Cha
Observed name:
Cha, Hannah
Institutions:
Microsoft (United States),
Microsoft Research (United Kingdom),
Stanford University
Observed institutions:
Microsoft (United States),
Microsoft Research (United Kingdom),
Stanford University
ORCID:
0009-0002-1476-9518
Observed ORCID:
0009-0002-1476-9518
OpenAlex ID:
A5098915198
CRAFT: Designing Creative and Functional 3D Objects
2025
·
Michelle Guo
, Mia Tang
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
1
PDF
MARPLE: A Benchmark for Long-Horizon Inference
2024
·
Emily Jin
, Zhuoyi Huang
, et al.
·
neural information processing systems
·
1
PDF
Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Level
2026
·
Hannah Cha
·
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
PDF
Beyond “I Can’t Help with That”: How Child Safety Experts Evaluate AI Chatbot Safety
2026
·
Hannah Cha
, Neha Shukla
, et al.
·
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
PDF
Beyond "I Can't Help With That": How Child Safety Experts Evaluate AI Chatbot Safety
2026
·
Cha, Hannah
, Shukla, Neha
, et al.
·
arXiv (Cornell University)
PDF
Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Level
2026
·
Cha, Hannah
·
arXiv (Cornell University)
PDF
Attention to Non-Adopters
2026
·
Association for Computational Linguistics 2026
, Aminu, Boluwatife
, et al.
·
Underline Science Inc.
Effects of Generative AI Errors on User Reliance Across Task Difficulty
2026
·
Jacy Reese Anthis
, Hannah Cha
, et al.
·
CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai'i
2026
·
Dora Zhao
, Hannah Cha
, et al.
·
CHI Conference on Human Factors in Computing Systems
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i
2026
·
Zhao, Dora
, Cha, Hannah
, et al.
·
arXiv (Cornell University)
PDF
Attention to Non-Adopters
2026
·
Kaitlyn Zhou
, Kristina Gligorić
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
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Works count:
12
Citation count:
4
H-index:
1
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