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Hi, I'm Hannah Cha

I am a predoctoral research fellow at MSR-CSS and also work closely with MSR-FATEI am also a master's student at Stanford studying Computer Science (Artificial Intelligence) advised by Professor Dan Jurafsky. Previously, I completed my B.S. in Symbolic Systems (Human Computer Interaction) at Stanford with a minor in Comparative Studies in Race and Ethnicity, advised by Professor Michael Bernstein. Previously, I interned at the Responsible AI & Tech team @ Salesforce, and as a Machine Learning Engineer Intern @ Reddit on privacy enhancing technologies. I also love teaching! I am a teaching assistant for MSR's DS3 program and previously taught as an Ethics CA for CS 221(Artificial Intelligence: Principles and Techniques) and one of the head TAs for CS21SI (AI for Social Good).

My research explores the intersection between human-AI interaction, machine learning fairness/auditing, and responsible AI. I am interested in analyzing how AI systems underdeserve and disproportionately harm marginalized communities. I am interested in leveraging participatory design methods to design for and with underrepresented communities.

​News:

  • [5/26] Article accepted to Stanford Law Review Online 

  • [4/26] Two works accepted as parallel talks for IC2S2 2026

  • [4/26] Presented a conference paper, poster, and workshop paper at Barcelona for CHI 2026

  • [4/26] Paper accepted to ACL Findings 2026

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