This episode explores the promises and pitfalls of AI in safety work, centered on the book The AI Paradox in Safety by Brent Sutton and Brent Robinson. Todd and Brent discuss how AI can either amplify blame and surveillance or enable learning and improvement, and why organizational culture shapes which path wins.

Topics include surveillance concerns (Flock cameras, wearables), AI amplifying existing culture, neurodiversity, leader assurance questions, and practical advice for using AI to listen to frontline workers rather than punish them.

In this episode, Todd explores the evolution of safety thinking—from blaming human error to creating systems that support reliable work. He discusses the normalization of deviance versus a deliberate shift toward a normalization of excellence, learning teams, and practical examples of redesigning work to prevent repeats of incidents.

Through conversations about AI-created interviews, Southwest Airlines' practices, and Case studies, Todd emphasizes treating error as normal, asking better questions, and designing systems that make work safer and more effective.

Host Todd Conklin visits Golden Gate National Recreation Area with safety specialists Rik Hansen and Leo Shea to explore a shift in safety thinking — from focusing on risk to supporting mission performance. They discuss visits to Alcatraz, Ocean Rescue teams, and Trail Crews, highlighting how listening to frontline workers reveals practical, predictive knowledge.

The episode emphasizes building relationships, staying curious and adaptable, and treating expertise and wellness as core parts of a safety program. Real-world stories from lifeguards and park teams show how pre-planning, shared language, and workforce engagement improve reliability and resilience.