2026-09-19T01:13:05Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/979972022-07-26T16:14:27Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
T. L. Taylor and David A. Mindell.
Stayton, Erik Lee
Massachusetts Institute of Technology. Department of Comparative Media Studies.
Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing
2015-07-31T19:12:59Z
2015-07-31T19:12:59Z
2015
2015
http://hdl.handle.net/1721.1/97997
914477265
Thesis: S.M., Massachusetts Institute of Technology, Department of Comparative Media Studies, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 121-140).
In this work Erik Stayton examines dominant and alternative paradigms of ground vehicle automation, and concludes that current and imagined automation technology is far more hybrid than is often recognized, presenting different questions about necessary or appropriate roles for human beings. Automated cars, popularly rendered as "driverless" or "self-driving" cars, are a major sector of technological development in artificial intelligence and present a variety of questions for design, policy, and the culture at large. This work addresses the dominant narratives and ideologies around self-driving vehicles and their historical antecedents, examining both the media's representation of self-driving vehicles and the sources of the idea, common both among the media and many self-driving vehicle researchers, that complete vehicle autonomy is the most valuable future vision, or even the only one worth discussing and investigating. This popular story has important social stakes (including surveillance, responsibility, and access), embedded in the technologies and fields involved in visions of full automation (machine vision, mapping, algorithmic ethics), which bear investigating for the possible futures of automation that they present. However, other paradigms for automation exist, representing lenses from literature in the fields of human supervisory control and joint-cognitive systems design. These fields-compared with that of AI-provide a very different read on what automation means and where it is headed in the future, which leads to the possibility of different futures, with different stakes and trade-offs. The work examines how automation taxonomies, such as that by the NHTSA, fail to account for these possibilities. Finally, this work examines what cultural understandings need to change to make this (cyborg) picture more broadly comprehensible, and suggests potential impacts for policy and future technological development. It argues that a broader appreciation for our hybrid engagements with machines, and recognition that automation alone does not solve any social problems, can alter public opinion and policy in productive ways, away from focus on "autonomous" robots divorced from human agency, and toward system-level joint human-machine designs that address societal needs.
by Erik Lee Stayton.
S.M.
140 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Comparative Media Studies.
Driverless dreams : technological narratives and the shape of the automated car
Technological narratives and the shape of the automated car
Thesis
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Publication
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<Abstract>In this work Erik Stayton examines dominant and alternative paradigms of ground vehicle automation, and concludes that current and imagined automation technology is far more hybrid than is often recognized, presenting different questions about necessary or appropriate roles for human beings. Automated cars, popularly rendered as "driverless" or "self-driving" cars, are a major sector of technological development in artificial intelligence and present a variety of questions for design, policy, and the culture at large. This work addresses the dominant narratives and ideologies around self-driving vehicles and their historical antecedents, examining both the media's representation of self-driving vehicles and the sources of the idea, common both among the media and many self-driving vehicle researchers, that complete vehicle autonomy is the most valuable future vision, or even the only one worth discussing and investigating. This popular story has important social stakes (including surveillance, responsibility, and access), embedded in the technologies and fields involved in visions of full automation (machine vision, mapping, algorithmic ethics), which bear investigating for the possible futures of automation that they present. However, other paradigms for automation exist, representing lenses from literature in the fields of human supervisory control and joint-cognitive systems design. These fields-compared with that of AI-provide a very different read on what automation means and where it is headed in the future, which leads to the possibility of different futures, with different stakes and trade-offs. The work examines how automation taxonomies, such as that by the NHTSA, fail to account for these possibilities. Finally, this work examines what cultural understandings need to change to make this (cyborg) picture more broadly comprehensible, and suggests potential impacts for policy and future technological development. It argues that a broader appreciation for our hybrid engagements with machines, and recognition that automation alone does not solve any social problems, can alter public opinion and policy in productive ways, away from focus on "autonomous" robots divorced from human agency, and toward system-level joint human-machine designs that address societal needs.</Abstract>
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