Postdoctoral Researcher @ CMU HCII
Email: xiaosijia [at] cmu (dot) edu
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News
Feb 2026
Two co-authored papers were accepted to CHI 2026.
Invited talk at the National Institute of Standards and Technology (NIST) on Early Risk–Benefit Reasoning in AI Innovation.
Nov 2025
Invited seminar talk at Johns Hopkins University on Designing for Deliberation and Repair in Sociotechnical Systems.
July 2025
Interviewed by The Guardian about my research on conspiracy theories.
Read the article.
My paper, "What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks", has been accepted to AIES 2025.
See the preprint here.
Jan 2025
My paper, "SnuggleSense: Empowering Online Harm Survivors Through a Structured Sensemaking Process", has been accepted to CSCW 2025.
Sep 2024
My research on online conspiracy theories was cited in a
New York Times article.
Hi! I'm Sijia Xiao, a postdoctoral researcher at the Human-Computer Interaction Institute (HCII), Carnegie Mellon University, working with Prof.
Motahhare Eslami. I completed my PhD at the School of Information, UC Berkeley, advised by Prof. Niloufar Salehi and Coye Cheshire.
I previously received my Master of Human-Computer Interaction from Georgia Tech and my Bachelor of Computer Science from Peking University.
I am a researcher in Human–Computer Interaction (HCI), Social Computing, and Responsible AI.
My work develops frameworks and systems that make sociotechnical systems not only technically robust
but also socially accountable, with a focus on social media and AI innovation. My research has two goals:
- Complement harm prevention with deliberation and reparation.
Much existing work of addressing technological harm focuses on punishment or narrow forms of accountability, but less attention has been paid to reparation—how to remedy harm that has already happened and build processes for sustained transformation. I study how to design structures for deliberation, helping people collectively interpret technology’s impacts, and for reparation, creating ways to address harm through acknowledgment, remedy, and reform.
- Expand responsible AI’s focus beyond harm to also consider benefits.
While responsible AI research has largely centered on risks, I ask how benefits can be identified and weighed to better balance industry needs with societal values. My studies examine this tension in early AI innovation, often driven by technical feasibility and business opportunity, particularly in non-tech companies. I design tools and frameworks that bring accountability to early decision-making and help align innovation with broader social values.
I use qualitative interviews, participatory design, experiments, and system building, drawing on theories of
decision-making and sensemaking as well as restorative and transformative justice. My research has been published
at leading venues such as CHI, CSCW, TOCHI, and AIES, and cited by
The Guardian, CNN, BBC, and The New York Times. I have received a CHI Honorable Mention
and funding from the CMU–NIST Cooperative Research Center, the Berkeley AI Policy Hub, and the Center for Technology,
Society and Policy.
Selected Publications
Investigating How Leaders Decide on AI Innovations: Opportunities for HCI
Shixian Xie; Sijia Xiao; Cindy Peng; Ganesh Mani; John Zimmerman; Motahhare Eslami
CHI 2026
What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks
Sijia Xiao; Haodi Zou; Alice Qian Zhang; Deepak Kumar; Hong Shen; Jason Hong; Motahhare Eslami
SnuggleSense: Empowering Online Harm Survivors Through a Structured Sensemaking Process
Sijia Xiao; Haodi Zou; Amy Mathews; Jingshu Rui; Coye Cheshire; Niloufar Salehi
Addressing Interpersonal Harm in Online Gaming Communities: the opportunities and challenges for a restorative justice approach
Sijia Xiao; Shagun Jhaver; Niloufar Salehi
Sensemaking, Support, Safety, Retribution, Transformation: A Restorative Justice Approach to Understanding Adolescents' Needs
Sijia Xiao; Coye Cheshire; Niloufar Salehi
Sensemaking and the Chemtrail Conspiracy on the Internet: Insights from Believers and Ex-believers
Sijia Xiao; Coye Cheshire; Amy Bruckman
Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media
Sijia Xiao; Danaë Metaxa; Joon Sung Park; Karrie Karahalios; Niloufar Salehi