Stanford CS547 HCI Seminar | Spring 2026 | Just-in-Time Objectives for Specialized AI Interactions
2988 次观看 · 2026-07-13
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May 22, 2026
This lecture covers:
• How just-in-time (JIT) architectures can produce specialized AI interactions that enable users to redirect generic AI systems to realize their specific, distinctive goals
• An introduction to JIT objectives, which specialize outputs to a particular user by inducing user objectives from observed interaction traces
• How JIT objectives enable on-the-fly generation of software tools that visualize a research statement's logical argument, test alternate color palettes for a figure, or provide feedback based on relevant academic experts
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Michelle Lam is a Computer Science PhD candidate at Stanford University in the Human-Computer Interaction Group.
May 22, 2026
This lecture covers:
• How just-in-time (JIT) architectures can produce specialized AI interactions that enable users to redirect generic AI systems to realize their specific, distinctive goals
• An introduction to JIT objectives, which specialize outputs to a particular user by inducing user objectives from observed interaction traces
• How JIT objectives enable on-the-fly generation of software tools that visualize a research statement's logical argument, test alternate color palettes for a figure, or provide feedback based on relevant academic experts
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Michelle Lam is a Computer Science PhD candidate at Stanford University in the Human-Computer Interaction Group.