108: Professor Robin Dillon-Merrill Part 2: Resilient Vs Vulnerable Near misses

Can AI help us identify critical safety blind-spots before disaster?Part 2 interview with Professor Robin Dillon-Merrill (Georgetown University, McDonough School of Business), who unpacks her 20+ years of research on decision-making under risk, outcome bias, and how organizations misinterpret near misses.We discuss:a) why near-miss biases shape human decision-making & how we can build robust systems to counter them catch them b) why technical experts are uniquely positioned to simulate counterfactuals ('what could have happened, but didn't')c) how well-intended safety messaging becomes background noise without institutional actiond) how cutting-edge AI & machine learning can triage gigantic incident datasets before catastrophe.Plus, Robin discusses real-world safety challenges with autonomous vehicles, such as Waymo vehicles illegally passing school buses in Texas.Resources & Links:Website & Articles: https://safetyinsights.orgSupport the channel: https://buymeacoffee.com/benhutchinson