Jose A. Guridi
Ph.D. Candidate in Information Science
Cornell University
As a Data Science Fellow at Cornell's Qualitative and Interpretive Research Institute (QuIRI), I'm studying how qualitative researchers think about AI in their work. Whether you use it, avoid it, or are somewhere in between, I'd like to understand the reasoning behind your choices.
About
I research what happens when emerging technologies land in the real world. My current focus is on artificial intelligence, where I study the friction, negotiation, and adaptation that occur when AI meets existing institutions, organizations, and people. My work sits at the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Technology Policy.
My research is organized in three interconnected layers. At the macro level, I study pragmatic and flexible technology governance: how countries design and adapt policy frameworks for technologies they are still learning about, how governance models travel (or fail to travel) across contexts, and how experimental approaches like regulatory sandboxes can support evidence-based regulation. At the meso level, I focus on participatory and sustainable digital transformation: how organizations, design teams, and public institutions can meaningfully involve citizens and stakeholders in shaping technology, and how AI tools can support collaborative processes without flattening the voices they aim to include. At the micro level, I investigate responsible and reflective human-AI interaction: how individuals actually use AI in professional practice, what this reveals about the distance between technological promise and everyday reality, and how we can design these interactions more thoughtfully.
My research is grounded in practice. Before my PhD, I worked in Chile's Ministry of Economy and Ministry of Science, where I coordinated the development of the National AI Policy. Since then, I have worked on AI governance and technology policy with governments and international organizations, such as UNESCO and the Inter-American Development Bank, across Latin America, the Caribbean, and Southeast Asia. I bring this experience into my research: I study technology governance informed by the realities of how policy is actually made and implemented in the Global South.
I am a Ph.D. candidate in Information Science at Cornell University, advised by Cristobal Cheyre, with committee members Qian Yang and Malte Ziewitz.
News & Updates
- May 2026 Attended the Privacy Law Scholars Conference (PLSC) at Indiana University Maurer School of Law in Bloomington, Indiana, where my paper "Redesigning AI Regulatory Sandboxes for Generative AI: Beyond Traditional For-Profit Innovation" (with Bhargavi Ganesh and Thiago Moraes) was workshopped. I also served as discussant for Mark Verstraete's "Privacy Law as Data Architecture."
- May 2026 Co-organizing the Community-Centered AI Thought Summit at Cornell (May 18–20) on community-controlled AI, environmental justice, and data sovereignty — an initiative I helped conceive with Jenny Goldstein and other PIs.
- May 2026 Invited keynote at Altice Conecta, Santo Domingo, Dominican Republic, on the Dominican AI ecosystem (drawing on Foresight's work) and AI adoption in organizations.
- May 2026 Workshop "The Capacity to Care: Designing Social Technology for Sustained Engagement With Societal Challenges" accepted at CSCW 2026, with JaeWon Kim, Lindsay Popowski, Louisa Conwill, Elizabeth Li, Meryl Ye, Jiaying Liu, Theia Henderson, Bingxu Han, Dennis Wang, Angel Hsing-Chi Hwang, Susan Wyche, Yasmine Kotturi, Gillian R. Hayes, and Angela D. R. Smith.
- Apr 2026 Presented results of the Foresight/Google AI Sprinters report at the IDB 2026 Partners Forum, Washington DC.
Selected Publications
[CHI'26] ACM CHI Conference on Human Factors in Computing Systems, 2026
[CSCW'25] Proceedings of the ACM on Human-Computer Interaction, 9(2), 2025
Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers
[CSCW'25] Proceedings of the ACM on Human-Computer Interaction, 9(2), 2025
Digital Government: Research and Practice, 6(1), 2025
Research
Macro — Pragmatic and Flexible Technology Governance
How countries design, adapt, and experiment with policy frameworks for technologies they are still learning about—from paradoxical strategies for AI governance to regulatory sandboxes and science policy in the Global South.
Meso — Participatory and Sustainable Digital Transformation
How organizations, design teams, and public institutions can meaningfully involve citizens and stakeholders in shaping technology—using NLP tools for civic participation and generative AI for collaborative design.
Micro — Responsible and Reflective Human-AI Interaction
How individuals actually use AI in professional practice—from government policymaking to qualitative research to creative fields—and what this reveals about the distance between technological promise and everyday reality.
Contact
jg2222@cornell.edu
Information Science, Cornell University