Responsibility in AI Systems & Experiences
At RAISE, we envision a future where AI systems are developed and used strongly aligned with human ethics and values. These systems will solve complex problems and help make decisions. They will provide experiences for the users that not only augment and enhance their live, but do so with accountability.
With a wealth of faculty from over a dozen labs across disciplines, RAISE is a leading center for research and education: building, evaluating, and envisioning AI technologies in the area of Responsible AI. Together, we are working to address humanity’s existential challenges such as climate change, access to food, water, and healthcare, as well as reliable and trustworthy information and political landscape, to support an equitable, sustainable, and healthy world.
Upcoming Talks & Events
Guest Speaker
Hari’s research looks at enabling multidisciplinary teams to design and develop ethical, responsible, and human-centered experiences with AI. He applies this to AI in education, drawing from cognitive psychology and learning sciences to enhance learning.
He is also the Ram and Vijay Shriram Faculty Fellow at Stanford’s Institute for Human-Centered AI.
Abstract
In traditional software development, UX design and engineering are distinct: designers create specs, and engineers build them. AI blurs this line, as systems evolve dynamically with data and user interactions.
In this talk, I’ll explore how collaboration at the AI-UX boundary shapes responsible AI design. Drawing from industry studies, I’ll show how “leaky” abstractions encourage cross-disciplinary teamwork and why end-user data is crucial in both AI and UX design. I’ll discuss challenges in aligning AI behavior with human expectations, emphasizing transparency, interpretability, and accountability. Finally, I’ll present insights from generative AI prototyping and share practical tools for integrating responsible AI principles into UX workflows.
Event Time Event Name
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Mar 14, 2025 RAISE Seminar ft. Hari Subramonyam
9AM-10AM PST Assistant Professor, Graduate School of Education, Stanford
Publications
ModelsCounterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
In ACM Computing Surveys, Volume 56, Issue 12 Article, No.: 312, Pages 1 – 42.
Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah. 2024
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, August 2023. International Joint Conferences on Artificial Intelligence Organization, Macau, SAR China, 5941–5949.
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, and Kyle Lo. 2023
Human and Technological Infrastructures of Fact-checking
In Proc. ACM Hum.-Comput. Interact. 6, CSCW2 (November 2022), 1–36.
Prerna Juneja and Tanushree Mitra
Partnerships
UW eScience Institute
UW Data Lab
Information Matters
InfoSeeking
Meet Our Executive Committee
Chirag Shah
Co-Founding Director
Chirag Shah is a Professor in the Information School. He is the Founding Director of InfoSeeking Lab, which focuses on issues related to information seeking, human-computer interaction (HCI), and social media.
Email: chirags@uw.edu
Bill Howe
Co-Founding Director
Bill Howe is an Associate Professor in the iSchool, Adjunct Associate Professor in Computer Science & Engineering, Founding Associate Director of the eScience institute and remains a Senior Data Science Fellow.
Email: billhowe@uw.edu
Tanu Mitra
Co-Founding Director
Tanu Mitra is an Assistant Professor at the Information School, where she leads the Social Computing research group. Her research focuses on studying and building large-scale social computing systems to understand and counter problematic information online.
Email: tmitra@uw.edu