The SCAR Framework: A Systematic Approach to AI Decision-Making in Critical Systems (Real World Risk Management) Kindle Edition

Boeing 737 MAX: 346 deaths. Uber's self‑driving car: 1 death. Tesla Autopilot: multiple fatalities.The pattern? Organizations deployed automation and AI into critical operations without systematic evaluation of safety, complexity, accountability, and resilience.If you are responsible for automation or AI decisions in aviation, healthcare, transportation, energy, or defense, you need a structured, defensible framework for deciding when a system is safe to deploy—and when it is not.The SCAR Framework provides that methodology.Developed by an FAA aviation safety expert with 17 years investigating critical systems, this book adapts proven safety practices to advanced automation and AI. It shows you how to turn vague concerns into clear, documentable decisions your board, regulators, and teams can trust.The SCAR Framework: Four DimensionsSafety – Quantify actual versus perceived risk using hazard identification, likelihood, and consequence analysis.Complexity – Assess whether the system simplifies or compounds vulnerabilities through cognitive load, opacity, and coupled failure modes.Accountability – Establish ownership before failure. Define who is responsible for design, deployment, oversight, and intervention.Resilience – Build systems that fail safely, recover gracefully, and maintain acceptable performance under stress.What You Will LearnSystematic safety assessment tools from aviation and safety‑critical industriesComplexity analysis revealing hidden coupling and human‑factor trapsAccountability structures aligning technical reality with legal expectationsResilience design patterns for AI‑enabled operationsCase studies: Boeing MCAS, Tesla Autopilot, healthcare AI failuresScoring matrices and decision templates for assessmentsWarning indicators for when to delay or shut down initiativesPractical tools ready for your next review meeting.Who This Book Is ForLeaders personally accountable for automation and AI outcomes:CEOs, CTOs, and CDOs evaluating high‑impact technologyChief Safety Officers and Risk Executives in regulated industriesSenior Engineers integrating automation into critical workflowsCompliance and Governance Leaders managing policiesRegulators, auditors, and policymakers evaluating high‑risk systemsYou do not need to be a data scientist. SCAR is written for decision‑makers who must understand system risk to make sound judgments.Why This Book Is DifferentBuilt from real accident investigations, not hypothetical scenarios. Combines aviation safety rigor with practical checklists and case studies where decisions had life‑and‑death consequences.About the AuthorPhilip D. Mann, PhD, is an internationally recognized aviation safety expert and professor. He spent 17 years with the FAA on safety oversight for critical systems. Holds a PhD in Organization and Management, MBA, MPA, and PMI certifications. Frequent media commentator on aviation incidents and AI risk.If automation and AI are entering your critical systems, you are already making high‑stakes decisions—whether you have a framework or not.The SCAR Framework gives you the tools to make those decisions systematically, transparently, and defensibly. Read more