Janet Jhih-Yi Hsieh

About Me

I graduated from Carnegie Mellon University with a Master’s in Computer Science where I was fortunate to have been advised by Nihar Shah and Aditi Raghunathan. Prior to that, I graduated from Carnegie Mellon University with a Bachelor’s in Computer Science where I was fortunate to be advised by Virginia Smith and Tian Li for my senior thesis.

Research Interests

My research goal is to ensure such social-technical systems are responsible, fair, and diverse. I am interested in investigating two connected aspects of human-AI interaction: (i) measuring and mitigating social-technical harms, and (ii) alignment of AI models with diverse human values. I am very passionate about studying real societal applications, and I would also like to think about how my research can inform policy.

News

• [October 2025] I have been accepted to the KODAQS (Competence Center for Data Quality in the Social Sciences) Guest Researcher Program and will be visiting Munich, Germany for three weeks between Jan-Feb 2026, hosted by Fiona Draxler.
• [September 2025] I will be presenting a poster of our work on vulnerabilities in peer reviewer matching at the 10th International Congress on Peer Review and Scientific Publication (Chicago) and at the NSF AI-SDM Workshop on Human-AI Complementarity for Decision Making (Pittsburgh).
• [August 2025] I will be speaking at the USENIX Security Symposium 2025 (Seattle) about our accepted paper.
• [June 2025] Our paper about vulnerabilities in peer reviewer matching is accepted to USENIX Security 2025.

Publications