Driving Decisions: How Autonomous Vehicles Make Sense of the World [Hardcover]

Driving Decisions: How Autonomous Vehicles Make Sense of the World examines the phenomenon of autonomous driving, and the ongoing, complex, costly, and contentious quest to automate driving. Principally organized around the concept of algorithmic decision-making, the book considers how different mapping, sensing, and machine learning (ML)-dependent capabilities are gifted to autonomous vehicles through different kinds of technical work: from computer science students annotating visual data in industry-funded research centres to software engineers designing end-to-end ML models at autonomous vehicle start-ups. 

The book intends to complicate, and question, typical understandings of autonomous driving by going under the hood, challenging the technological determinism or decisionism that advocates offer of an inevitable, fully automated, future. Drawing on seven years of research in a range of empirical contexts, the book will appeal to scholars and students in the fields of science and technology studies, media studies, digital sociology, human geography, and mobilities and transport studies.

1. Introduction: The Making of Decisions and Technological Decisionism.- 2. Mapping Decisions: The Promise of Mapless-ness.- 3. Training Decisions: Ground-Truthing the Interesting.- 4. Sensing Decisions: Perceiving, Classifying, Finessing.- 5. Demonstrating Decisions: Waymos World.- 6. Securing Decisions: Sovereignty and Semiconductors.- 7. Relaxing Decisions: Making Driving Chill.- 8. Resisting Decisions: Coneheads in California.

Driving decisions is an insightful and timely examination of the world of autonomous vehicles. ... The book centers around the concept of algorithmic decision-making ... . The book is grounded in seven years of research and draws from diverse fields like media studies, scienlÓÙ