CS Seminar: Sunnie S. Y. Kim

Description

Sunnie S. Y. Kim, a doctoral candidate in computer science at Princeton University, will give a talk titled "Advancing Responsible AI with Human-Centered Evaluation" for the Department of Computer Science.

Refreshments are available starting at noon. The seminar will begin at 12:15 p.m.

Abstract:

As artificial intelligence (AI) technologies are increasingly transforming how we live, work, and communicate, AI evaluation must take a human-centered approach to realistically reflect real-world performance and impact. In this talk, Sunnie S. Y. Kim will discuss how to advance human-centered evaluation—and subsequently, responsible development of AI—by integrating knowledge and methods from AI and human-computer interaction. First, using explainable AI as an example, she will highlight the challenges and necessity of human (as opposed to automatic) evaluation. Second, she will illustrate the importance of contextualized evaluation with real users, revisiting key assumptions in explainable AI research. Finally, Kim will present empirical insights into human-AI interaction, demonstrating how users perceive and act upon common AI behaviors (e.g., large language models providing explanations and sources). She will conclude by discussing the implications of these findings and future directions for responsible AI development.