Keynotes
The programme is still being finalized and is subject to ongoing updates as sessions are scheduled. Please check back regularly for the latest changes.
Participatory AI: Designing and Governing AI with Stakeholders
AI systems are increasingly deployed with promises of improved productivity and decision-making, yet are often implemented onto people rather than designed with them. Emerging evidence shows that this approach can lead to unrealized benefits, harmful biases, and distrust. In my research, I propose Participatory AI—a set of methods
and tools that bring affected stakeholders directly into the design and governance of AI systems to better align AI with human values,
priorities, and lived practices. I develop participatory methods that combine (1) co-design approaches, enabling designers, developers, and
affected stakeholders to collaboratively reimagine what AI should do, and (2) computational tools that translate stakeholders’ values and priorities into legible, actionable metrics and visualizations. These tools allow non-specialists to shape system behavior—such as fairness and well-being objectives—within their specific organizational
contexts. In this talk, I will present applications of these methods across domains, including gig work, knowledge work, and public assistance. Our findings reveal that participatory methods not only uncover novel AI applications that users find legitimate and useful, but also foster critical reflection on workplace practices and priorities. I conclude by outlining open challenges and a future research agenda for participatory AI systems and governance.
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Min Kyung Lee
UT Austin
Min Kyung Lee is an assistant professor in the School of Information at the University of Texas at Austin and director of a Human-AI Interaction Lab since 2016. Dr. Lee has conducted some of the first studies that empirically examine the social implications of algorithms’ emerging roles in management and governance in society. She has extensive expertise in developing theories, methods and tools for human-centered AI and deploying them in practice through collaboration with real-world stakeholders and organizations.
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