Uploaded July 2026 | Updated September 2026, 2 weeks ago
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
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.
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
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.
