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The normativity of automated driving : a case study of embedding norms in technology

Eriksson, Magnus LU (2017) In Information & Communications Technology Law 26(1). p.46-58
Abstract

Autonomous driving is a technology that is currently in a phase of being developed and tested on roads in several countries. A major challenge for autonomous driving and for smart city technologies in general is regulatory challenges both regarding regulation of the technology in itself and technology as a regulator of urban space. This article examines how the development of autonomous driving embeds legal norms in technology and how conceptions of law through technology, such as Lawrence Lessig’s “Code is Law” are challenged by new technical developments. The article is based on a case study following the DriveMe project in Gothenburg, Sweden, aiming to conduct a trial of self-driving cars on ordinary roads, including conducting... (More)

Autonomous driving is a technology that is currently in a phase of being developed and tested on roads in several countries. A major challenge for autonomous driving and for smart city technologies in general is regulatory challenges both regarding regulation of the technology in itself and technology as a regulator of urban space. This article examines how the development of autonomous driving embeds legal norms in technology and how conceptions of law through technology, such as Lawrence Lessig’s “Code is Law” are challenged by new technical developments. The article is based on a case study following the DriveMe project in Gothenburg, Sweden, aiming to conduct a trial of self-driving cars on ordinary roads, including conducting interviews with engineers working on the project as well as representatives of the Swedish traffic authorities. The purpose of the article is to test this new situation for norms embedded in code against the framework of “code is law” which has been a dominant perspective in socio-legal studies of technology.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
autonomous driving, code is law, normativity
in
Information & Communications Technology Law
volume
26
issue
1
pages
12 pages
publisher
Routledge
external identifiers
  • scopus:85008145238
  • wos:000396562300004
ISSN
1360-0834
DOI
10.1080/13600834.2017.1269872
language
English
LU publication?
yes
id
8365e430-74f0-45cc-a8d9-37c4d02d398e
date added to LUP
2017-01-13 08:00:47
date last changed
2018-01-07 11:44:46
@article{8365e430-74f0-45cc-a8d9-37c4d02d398e,
  abstract     = {<p>Autonomous driving is a technology that is currently in a phase of being developed and tested on roads in several countries. A major challenge for autonomous driving and for smart city technologies in general is regulatory challenges both regarding regulation of the technology in itself and technology as a regulator of urban space. This article examines how the development of autonomous driving embeds legal norms in technology and how conceptions of law through technology, such as Lawrence Lessig’s “Code is Law” are challenged by new technical developments. The article is based on a case study following the DriveMe project in Gothenburg, Sweden, aiming to conduct a trial of self-driving cars on ordinary roads, including conducting interviews with engineers working on the project as well as representatives of the Swedish traffic authorities. The purpose of the article is to test this new situation for norms embedded in code against the framework of “code is law” which has been a dominant perspective in socio-legal studies of technology.</p>},
  author       = {Eriksson, Magnus},
  issn         = {1360-0834},
  keyword      = {autonomous driving,code is law,normativity},
  language     = {eng},
  number       = {1},
  pages        = {46--58},
  publisher    = {Routledge},
  series       = {Information & Communications Technology Law},
  title        = {The normativity of automated driving : a case study of embedding norms in technology},
  url          = {http://dx.doi.org/10.1080/13600834.2017.1269872},
  volume       = {26},
  year         = {2017},
}