I’m a fifth year HCI PhD student at Carnegie Mellon University advised by Geoff Kaufman and Laura Dabbish. I work in the eHeart Lab and CoEx Lab.
Affiliations: 2026 Stuart Card Fellow.
My work investigates how various stakeholders (users, designers, developers) conceptualize and react to automated bias. I also build positive interventions to address these reactions.
My primary work inquires about AI harms, and how we can help stakeholders combat harms.
What are users’ psychological responses to AI bias? How do these responses vary based on individual differences, especially across marginalized identities? Presently, I am interested in understanding the harms of generative AI.
How do stakeholders attribute blame when a product has a harmful outcome?
How might we design to mitigate or reverse the psychological harm inflicted by AI bias? I explore this through design interventions at all stages of the product pipeline. This includes interventions for both developers as well as end-users.
I am also intrigued by: collaborative work, feminist computing, design futurism, moral/positive psychology.
EACL Karina Halevy, Kimi Wenzel, Seyun Kim, Maarten Sap. 2026. Common Sense or Ableism? Rethinking Commonsense Reasoning Through the Lens of Disability.AIES Pranav Khadpe, Kimi Wenzel, George Loewenstein, Chinmay Kulkarni, Geoff Kaufman. 2025. Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender’s moral character.CHI Kimi Wenzel and Geoff Kaufman. 2024. 🏆 Best Paper Award. CHI Kimi Wenzel, Nitya Devireddy, Cam Davison, and Geoff Kaufman. 2023. CHI *Isadora Krsek, *Kimi Wenzel, Sauvik Das, Jason I. Hong, and Laura Dabbish. 2022. InterSpeech Robin Netzorg, Juliana Francis, Brooklyn Sheppard, Kimi Wenzel, Norman Makoto Su, Anna Leschanowsky, Abraham Glasser, Bowon Lee, Christine Murad, Cosmin Munteanu, Jay Cunningham, Shaomei Wu. Speech AI for All: Challenging Deficit-based Approaches to Speech Science and Technology.CHI Kimi Wenzel, Alisha Pradhan, Maria Teleki, Tobias Weinberg, Robin Netzorg, Alyssa Hillary Zisk, Anna Seo Gyeong Choi, Jingjin Li, Raja Kushalnagar, Colin Lea, Abraham Glasser, Christian Vogler, Nan Bernstein Ratner, Ly Xīnzhèn M. Zhǎngsūn Brown, Allison Koenecke, Karen Nakamura, Shaomei Wu. Speech AI for All: The What, How, and Who of Measurement.FAccT Kimi Wenzel, Avijit Ghosh, Sachin Pendse, Stephanie Milani, Ajeet Singh, Laura Dabbish, Geoff Kaufman. 2025. Invisible by Design? Generative AI and Mirrors of Misrepresentation.CHI Shaomei Wu, Kimi Wenzel, Jingjin Li, Qisheng Li, Alisha Pradhan, Raja Kushalnagar, Colin Lea, Allison Koenecke, Christian Vogler, Mark Hasegawa-Johnson, Norman Makoto Su, Nan Bernstein Ratner. 2025. Speech AI for All: Promoting Accessibility, Fairness, Inclusivity, and Equity.M2@NeurIPS pluralism@CSCW Kimi Wenzel, Geoff Kaufman, and Laura Dabbish. 2023. CUI@CHI Kimi Wenzel and Geoff Kaufman. 2023.