Hello! I'm Alicia DeVrio.

I'm a PhD student advised by Ken Holstein at Carnegie Mellon University's Human-Computer Interaction Institute. My work explores the power of everyday people to resist and work toward remediation of harmful algorithmic systems and their impacts.

Semantic Scholar Mastodon Twitter DBLP Research Ethos
adevos [at] cmu [dot] edu

I like to run & read for fun, but not simultaneously. My free time is spent watching musicals, eating ice cream, & visiting libraries. My favorite color is red, my favorite weaving technique is deflected doubleweave, & my favorite punctuation marks are the en dash & the interrobang.


Alicia DeVrio, Motahhare Eslami, Kenneth Holstein. Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency. (FAccT), 2024.

Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein. Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. Proceedings of the CHI Conference on Human Factors in Computing Systems. (CHI), 2023.
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Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami. Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. Proceedings of the CHI Conference on Human Factors in Computing Systems. (CHI), 2022.
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Hong Shen*, Alicia DeVos*, Motahhare Eslami, Kenneth Holstein. Everyday Algorithm Auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. Proceedings of the ACM on Human-Computer Interaction. (CSCW2), 2021.
pdf video