Our guest, Kay Wakeman of the Insurance Institute for Highway Safety and the Highway Loss Data Institute, is a trusted voice for insurance-embedded research.

Her CAS sessions are routinely standing-room only — and after hearing this conversation, you’ll understand why.

Join us as Kay helps answer some big questions:

• Which collision-avoidance systems actually reduce losses?

• Why are EVs both safer and more expensive to insure?

• How is speed-limiting tech reshaping conversations about regulation and underwriting?

• And could partial automation be doing more harm than good on real roads?

Whether you're an actuary, a product manager, or just someone wondering why your car keeps yelling at you — this episode is a crash course in what today’s safety tech gets wrong, and what the data says we should do next.

Recorded live at the 2025 CAS Spring Meeting in Toronto, this episode of Almost Nowhere separates the marketing from the math when it comes to vehicle safety tech.

In this episode, we talk with Jim Guszcza — former US Chief Data Scientist at Deloitte and current CAS Board Member — about what the future of AI should look like. We challenge the ideology of artificial intelligence, explore how actuaries can lead the shift to human-centered systems, and dive into the power of collective intelligence, participatory design, and explainability. If you’ve ever wondered how to build models that actually work — and what we’re missing when we treat AI as magic — this episode is for you.

Jim's latest publications

In this episode, we talk with Drew Hill, a product manager at Mutual Capital Analytics, about what happens when product, actuarial, and data science roles start to blend — and why that might be exactly what the future of insurance needs. We get into AI, upskilling, regulatory hurdles, model trust, and how cross-functional teams are reshaping product strategy from the inside out.