Hello! I'm Alicia DeVrio.

I'm a PhD student advised by Motahhare Eslami & Ken Holstein at Carnegie Mellon University's Human-Computer Interaction Institute. My work explores ways to reduce harm by shifting power to those who use & are most affected by algorithmic systems.

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adevos [at] cmu [dot] edu

Previously, I

Experimented on Noom's sign-up survey as a growth product manager
Led product testing efforts for wsj.com & barrons.com at Dow Jones
Graduated from Brown University with a computer science degree (where I also completed significant writing coursework)

I like to run & read for fun, but not simultaneously. My free time is spent watching musicals, eating ice cream, & figuring out how to pronounce "apropos". My favorite color is red, my favorite software application is InDesign, & my favorite punctuation marks are the en dash & the interrobang.

LATEST UPDATES:

January 2023 - paper on user-driven algorithm auditing in industry practice accepted to CHI 2023

May 2022 - presented paper on users' strategies for uncovering harmful algorithmic behavior at CHI 2022

February 2022 - paper on users' strategies for uncovering harmful algorithmic behavior accepted to CHI 2022

October 2021 - presented everyday algorithm auditing paper at CSCW 2021

July 2021 - paper on everyday algorithm auditing accepted to CSCW 2021

August 2020 - started human-computer interaction PhD at Carnegie Mellon University

PUBLICATIONS:

Alicia DeVrio, Motahhare Eslami, Kenneth Holstein. [On public responses to algorithmic harm.] Under Review, 2023.

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. Pre-print, To appear in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (CHI), 2023.

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 2022 CHI Conference on Human Factors in Computing Systems. (CHI), 2022.
pdf video

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