Rare Failures, Public Perceptions, and Automated Driving
Daniel V McGehee, Professor of Industrial and Systems Engineering at the University of Iowa, joins us for the CCAT Distinguished Lecture.
This lecture explores the “vaccine paradox” of automated driving: why rare, highly publicized failures of self-driving vehicles provoke intense emotional and political reactions while the far more common harms of human driving remain normalized. Drawing on risk psychology, public-health history, and human-factors research, Prof. McGehee examines how visibility imbalance, trust, and perceptions of control shape public acceptance of emerging vehicle automation. Using real-world examples from automated-vehicle deployments alongside lessons from vaccine adoption and safety communication, the talk argues that societal expectations for perfection in automation may obscure meaningful population-level safety gains. The presentation concludes by discussing how transparency, responsible system design, and careful language around driver-assistance technologies can help align public perception with evidence as automated driving evolves toward broader deployment.
Daniel V McGehee, Professor of Industrial and Systems Engineering at the University of Iowa, joins us for the CCAT Distinguished Lecture.
This lecture explores the “vaccine paradox” of automated driving: why rare, highly publicized failures of self-driving vehicles provoke intense emotional and political reactions while the far more common harms of human driving remain normalized. Drawing on risk psychology, public-health history, and human-factors research, Prof. McGehee examines how visibility imbalance, trust, and perceptions of control shape public acceptance of emerging vehicle automation. Using real-world examples from automated-vehicle deployments alongside lessons from vaccine adoption and safety communication, the talk argues that societal expectations for perfection in automation may obscure meaningful population-level safety gains. The presentation concludes by discussing how transparency, responsible system design, and careful language around driver-assistance technologies can help align public perception with evidence as automated driving evolves toward broader deployment.
Lineup
Daniel V. McGehee
Good to know
Highlights
- 1 hour
- In person
Location
University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, MI 48109
How do you want to get there?

Agenda
-
Lecture Starts
-
Webinar Introduction
-