Stilgoe, Jack;
O'Donovan, Cian;
(2023)
Trials and tribulations: Who learns what from urban experiments with self-driving vehicles?
In: Cugurullo, Federico and Caprotti, Federico and Cook, Matthew and Karvonen, Andrew and McGuirk, Pauline and Marvin, Simon, (eds.)
Artificial Intelligence and the City Urbanistic Perspectives on AI.
(pp. 38-52).
Routledge: Abingdon, UK.
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Text (Part I [chapter 3])
O'Donovan_Trials and tribulations_chapter_AAM.pdf Access restricted to UCL open access staff until 2 December 2025. Download (382kB) |
Abstract
Self-driving (or ‘autonomous’) vehicles (AVs) represent a profound test case for artificial intelligence in open, unpredictable contexts. Many cities have played host to trials of self-driving car technology, offering up their roads as a form of testbed. But what is on trial and what is really being learnt? This chapter reports on our experiences with AV trials. These trials, on their own, are a poor indication of possible urban futures. They are typically designed to give the impression that the technology is unconstrained, which means they are intentionally disconnected from questions of governance. Our conclusion is that, for trials to be made relevant for cities, planners and policymakers must play a more active role in shaping and learning from them.
Type: | Book chapter |
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Title: | Trials and tribulations: Who learns what from urban experiments with self-driving vehicles? |
ISBN: | 1003365876 |
ISBN-13: | 9781003365877 |
DOI: | 10.4324/9781003365877-4 |
Publisher version: | https://doi.org/10.4324/9781003365877-4 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Built Environment, Geography, Urban Studies |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Science and Technology Studies |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10178974 |
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