I’m a fourth 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: 2024 Center for Machine Learning and Health Translational Fellow. 2024 Summer Intern at Apple AI/ML.
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 language technologies and 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.
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. M2@NeurIPS pluralism@CSCW Kimi Wenzel, Geoff Kaufman, and Laura Dabbish. 2023. CUI@CHI Kimi Wenzel and Geoff Kaufman. 2023.