1st Edition
Driving Intelligence: The Amber Book Errors in Motion, or How Autonomy Fails
Foreword Preface About the Authors Chapter 1 Accidents as Evidence Chapter 2 A First Look at Underlying AI Problems Chapter 3 Decoding AV Crash Reports Chapter 4 Recurring Fault Patterns in Autonomous Driving Systems Chapter 5 How Safe is Safe Enough? Chapter 6 Closed-World vs Open-World Problems Chapter 7 Robotaxis: Navigating Uncertainty Chapter 8 Why AV is Harder Than We Thought Chapter 9 The Multimodal Turn Chapter 10 The Road to Human-Level AI? Chapter 11 Outlook: A Sketch Of The Horizon Ahead Bibiliography Index
Biography
Gabriel Seiberth is a leading voice on automotive digital transformation with over twenty-five years in senior roles across consulting, technology, and engineering. He holds a senior executive position at a global engineering and R&D company and maintains an active independent research agenda in artificial intelligence and autonomous driving.
J. Mark Bishop has served as Professor of Cognitive Computing and Director of The Centre for AI and Analytics (TCIDA), at Goldsmiths, University of London. Mark was elected Chair of the AISB (the UK professional body for AI, and the oldest such organisation in the world) from 2010-2014. He currently acts as Chief Scientific Advisor to Fact3602 and is an International Fellow of the Karel Čapek Center, Praha, Czech Republic.
