Call for papers: The politics of autonomous vehicles

Following our workshop in London before Christmas, we are now planning a special issue of the open access social science journal Palgrave Communications focussed on the politics of autonomous vehicles.

The politics of autonomous vehicles

Editors: Dr Jack Stilgoe (Science and Technology Studies, University College London) and Dr Milos Mladenovic (Department of Built Environment, Aalto University) 

‘Self-driving’, ‘driverless’ or ‘autonomous’ vehicles promise to change the world in profound ways. The suggested benefits include safety, efficiency, accessibility and improved urban environments. However, researchers and others have been quick to raise questions about responsibility for crashes, safe testing and possible wider ramifications for transport systems. In a discussion that has been dominated by science, engineering and narrow questions of ethics, there is a need to draw attention to the old questions of politics: Who wins? Who loses? Who decides? Who pays?  

This collection (special issue) will publish original research that helps anticipate the politics of autonomous vehicles. The focus could be on the road, where vehicles are being tested and interactions with other road users are being worked out, on the lab, where rapid developments in machine learning and simulation are generating new possibilities, on discourses about possible and desirable futures, or somewhere else. 

Despite the ‘autonomous vehicle’ terminology, these technologies, when considered through social science lenses, look far from autonomous. They will be shaped by human interests and expectations, and future sociotechnical systems will be entangled in social worlds (infrastructures, rules, norms, behaviours, institutions and more) in complex and possibly unpredictable ways.   

We invite contributions from researchers on the following themes as they relate to self-driving vehicles:

  • Infrastructures of ‘autonomy’
  • Connectivity and sociotechnical systems
  • Algorithms and AI
  • Data ownership, control and privacy
  • The rules of the road
  • Public vs private control
  • Patterns of transport use, e.g. shared, active etc.
  • Competing for road space
  • Urban design, including ‘shared space’
  • Lessons from other mobility technologies
  • Histories of self-driving futures
  • Testing AV technologies
  • Sustainable technological transitions
  • Participation and democratic governance 

This article collection is an initiative of the UKRI Driverless Futures? project.  

Prospective authors should submit a 200-word abstract and a short biography to the Collection Editors in the first instance. Authors whose proposals are deemed suitable will be invited to submit full papers at any point up until the end of June 2021.

Trusting AI too much can turn out to be fatal – FT Comment

John Thornhill, the FT’s tech editor, has a comment piece today on trust in AI, discussing the recent NTSB investigation of the latest Tesla Autopilot crash. He starts by quoting NTSB chair Robert Summwalt:

“The lessons from this investigation are as much about people as they are about the limitations of emerging technologies,”

He then mentions my argument that “advances in machine learning must be accompanied by social learning.” Even though my new book is pretty short, he makes the argument far more concise than I could manage:

…what is essential, he suggests, is to create a collective societal capacity to understand emerging technologies and decide on the appropriate regulatory framework. We cannot leave all this to powerful private corporations.