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
Dr. Shen’s work anchors in HCI and intersects with multiple fields, such as NLP, ML, Speech Processing, and Data Science. Her research on bidirectional human-AI alignment aims to empower humans to interactively explain, evaluate, and collaborate with AI systems, while incorporating human feedback and values to improve AI systems.
Abstract
In this talk, Dr. Shen will provide a comprehensive overview of “bidirectional human-AI alignment,” starting with gaps in how humans understand AI decision-making. She will discuss why many explainable AI (XAI) algorithms fall short and introduce interactive solutions she developed to bridge this gap. Additionally, Dr. Shen will introduce methods for leveraging interactive human feedback to enhance AI performance. Finally, she will share insights from her latest research on fundamental values in alignment, outlining key challenges and opportunities for achieving bidirectional alignment over the long term.
Publications
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