I sit down with Bryan Reimer, Ph.D., a Research Scientist at MIT who leads research on human-centered technology at the intersection of AI, human behavior, mobility, and public policy.

Bryan has spent over two decades studying how people actually behave inside complex systems, especially in cars, organizations, and high-stakes environments where “automation” can help… or quietly make things worse.

Topics we cover:

Why companies rush into “AI strategy” without defining the use case or ROI
Tech-first vs consumer-first thinking and how to design for real humans
Why observation beats assumptions when building for behavior change
“Copilot, not autopilot”: how Bryan uses AI without giving up authorship
Using ChatGPT as a communications teammate for editing, tone, and clarity
The hidden problem of “work slop” and how AI can help interpret messy writing
Why incentivizing AI adoption inside companies actually matters
Skill atrophy: what we lose when we automate too much, and what we should build instead

Tools, Platforms, and References Mentioned: