Hi, I'm Leah!
I love bringing a philosophical lens to modern technology problems
I am a Ph.D. candidate in Computer Science at the University of Minnesota where I am advised by Stevie Chancellor and a member of the GroupLens research lab. My PhD research agenda is focused on understanding how taking a philosophical stance—marrying theory building with empirical substantiation—can rigorously inform more ethical data decisions. I mainly explore this in online communities and predictive systems. Inspired by my work as a yoga teacher, my guiding philosophy is to care for the communities whose data makes our research and technologies possible. CV Below:
Life Happenings!
Research
Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
Leah Ajmani, Arka Ghosh, Benjamin Kaveladze, Eugenia Kim, Keertana Namuduri, Theresa Nguyen, Ebele Okoli, Jessica Schleider, Denae Ford, Jina Suh
ACM Conference on Fairness, Accountability, and Transparency - FAccT (20256)
Extended version here:
Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency
Leah Ajmani, Nuredin Ali Abdelkadir, Stevie Chancellor
ACM Conference on Fairness, Accountability, and Transparency - FAccT (2025)
Moving Towards Epistemic Autonomy: A Paradigm Shift for Centering Participant Knowledge
🏆 Honorable Mention for Best Paper [top 5%]
Leah Ajmani, Talia Bhatt, Michael Ann Devito
Proceedings of the Conference on Human Factors in Computing Systems - CHI (2025)
Whose Knowledge is Valued? Epistemic Injustice in CSCW Applications
Leah Ajmani, Jasmine C Foriest, Jordan Taylor, Kyle Pittman, Sarah Gilbert, Michael Ann Devito
Proceedings of the ACM on Human-Computer Interaction - CSCW (2024)
Data Agency Theory: A Precise Theory of Justice for AI Applications
Leah Ajmani, Logan Stapleton, Mo Houtti, Stevie Chancellor
ACM Conference on Fairness, Accountability, and Transparency - FAccT (2024)
Peer-Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration
Leah Ajmani, Nick Vincent, Stevie Chancellor
Proceedings of the ACM on Human-Computer Interaction - CSCW (2023)
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research
Leah Ajmani*, Stevie Chancellor*, Bijal Mehta, Casey Fiesler, Michael Zimmer, Munmun De Choudhury
*Both authors contributed equally to the paper
ACM Conference on Fairness, Accountability, and Transparency - FAccT (2023)
“I See Me Here”: Mental Health Content, Community, and Algorithmic Curation on TikTok
Ashlee Milton, Leah Ajmani, Michael Ann Devito, Stevie Chancellor
Proceedings of the Conference on Human Factors in Computing Systems - CHI (2023)
Engagement or Knowledge Retention: Exploring Trade-offs in Promoting Discussion at News Websites
Brian McInnis, Leah Ajmani, Steven Dow
Proceedings of the ACM on Human-Computer Interaction - CSCW (2022)
Reporting the Community Beat: Practices for Moderating Online Discussion at a News Website
🏆 Impact Recognition
Brian McInnis, Leah Ajmani, Lu Sun, Yiwen Hou, Ziwen Zeng, and Steven P. Dow.
Proceedings of the ACM on Human-Computer Interaction - CSCW (2021)