The Acceleration Trap: “Throwing Spaghetti at the Wall” When Integrating GenAI into Legacy Products
In Review
Inha Cha is a PhD student at Georgia Tech working with Dr. Richmond Y. Wong and Dr. Carl DiSalvo. Her research brings together human-computer interaction (HCI), science and technology studies (STS), and technology policy. She studies how AI is reshaping designers’ everyday work and how they negotiate those changes. More broadly, she asks how a handful of big techs came to have so much say in the future of work and what workers can do together to build alternatives.
Before joining Georgia Tech, she worked as an AI product UX designer at Upstage. She completed her master’s degree in the Department of Industrial Design at KAIST, advised by Dr. Youn-kyung Lim, and earned her undergraduate degree in Aesthetics and Information Science and Culture at Seoul National University.
News
- May 2025Super excited to be joining the Human-Centered AI team at Toyota Research Institute as a Research Intern this fall!
- Apr 2026Co-first-authored paper accepted to FAccT 2026! Excited for my first FAccT!
- Mar 2026Selected for doctoral consortium at FAccT 2026!
- Apr 2026Please join us FAccT Craft session <Visioning Resistance: A CRAFTing Workshop on Adversarial Responses to AI> at FAccT 2026!
- Jan 2026Two first-authored papers accepted to CHI 2026!
- Nov 2025Please join our meetup 'How Could AI Supply Chain Research Shape HCI Inquiries And Vice-Versa?' at CHI 2026
- May 2025Joining the Digital Life Initiative at Cornell Tech in NYC as a Visiting Fellow for Summer 2025
- May 2025Our CSCW 2025 workshop 'Exploring Resistance and Other Oppositional Responses to AI' has been accepted, looking forward to your participation!
- Jan 2025First-authored paper accepted to CHI 2025! Looking forward to reconnecting with familiar faces and meeting new ones in Japan!
- Dec 2024Recognized by Georgia Tech's Center for Teaching and Learning Thanks-a-Teacher Award for excellence in teaching and impact on student learning in CS 8001
- Nov 2024Awarded a $5,000 Seed Grant from AIAI as PI for the project "AI non-use toolkits for design and creative professionals"
- Aug 2024Presented Ethics Pathways at the Mila – Quebec Artificial Intelligence Institute’s Human-Centered AI Reading Group
Publications
* indicates equal contribution.
Please see my Google Scholar page for the most up-to-date publications.
A Systematic Review of AI-at-Work Research in HCI: What We Study, How We Study It, and What Should Come Next
In Review
Navigating Organizational Infrastructures: Addressing Ethics Uncertainty Experienced by Middle Managers in AI Development
The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces
Beyond Claiming Sovereign AI: Motivations, Challenges, and Contradictions in Developing and Deploying Local Foundation Models in South Korea
“My Body is Not Your Porn”: Identifying Trends of Harm and Oppression through a Sociotechnical Genealogy of Digital Sexual Violence in South Korea
Culture is Everywhere: A Call for Intentionally Cultural Evaluation
Discovering Factor Level Preferences to Improve Human-Model Alignment
Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
CHI 2025
Ethics Pathways: A Design Activity for Reflecting on Ethical Engagement in HCI Research
Investigating the Potential of Group Recommendation Systems As a Medium of Social Interactions: A Case of Experiences Between Two Users
Unlocking the Tacit Knowledge of Data Work in Machine Learning
Exploring the Use of a Voice-based Conversational Agent to Empower Adolescents with Autism Spectrum Disorder
Toward Becoming a Better Self: Understanding Self-Tracking Experiences of Adolescents with Autism Spectrum Disorder Using Custom Trackers
A Study for Specializing a Chatbot-based Self-Management Program for Adolescents with Autism Spectrum Disorder
HCI Korea 2019