Michael Horrigan
W.E. Upjohn Institute for Employment Research
What AI is doing to teaching, assessment, and hiring, and the cross-institutional conversations we need to keep pace.
The program sits at the intersection of how we teach with AI, how we assess what students have learned, what the labor market is asking of graduates, and the peer networks that make any of this tractable across institutions.
Four confirmed voices anchor the day, drawn from research, teaching, and the labor-market side of the AI question. Additional speakers will be announced as the program firms up.
W.E. Upjohn Institute for Employment Research
University of Michigan
London School of Economics
University of Toronto
The full slate of talks, panels, and discussions is still being assembled. Below is a representative sample of the conversations the day is being built around — additional sessions and speakers will be announced as plans firm up.
How instructors are designing courses, assignments, and assessments now that students have copilots at hand.
Shifts in hiring criteria, day-one job tasks, and the skills industry is screening for in an AI-saturated labor market.
A view from the publishers and edtech firms building the AI-native tools our students will use next.
How a central-bank perspective reads the evidence on AI's impact on productivity, employment, and wages.
The call for presentations opens soon. Presentations come in two lengths: a shorter slot of about 10 minutes, or a longer one of 20 minutes. We want the pilots that worked and the ones that did not. Regional focus, submissions welcome from anywhere.
Submissions close September 21, 2026. Decisions by September 30, 2026.
Add your name below to be notified the moment the call opens, to flag a collaboration, or simply to attend. We will keep you posted as the program firms up.
You're on the mailing list, and we'll follow up about your submission.