Affectation, Articulations, Learning: Towards Technoanthropological Symmetrization of Drivers and AVs Bodies
[Affitsiruemost’, artikuliatsii, obuchenie: k tekhnoantropologicheskoi simmetrizatsii tel voditelei i bespilotnykh avtomobilei]
Type of publication: Research Article
Submitted: 11.11.2021
Accepted: 20.01.2022
About author(s)
Mariia Kiseleva | https://orcid.org/0000-0003-1894-6796 | maria.evgenevna@gmail.com | European University at St. Petersburg (6/1a Gagarinskaya Str., St. Petersburg, 191187, Russia)
Keywords
technoanthropology, science and technology studies, actor-network theory, autonomous vehicles, self-driving cars, body, Waymo
Abstract
The article discusses autonomous vehicles (AVs) and considers them in relation to the Body concept of Bruno Latour. It deals with the acquisition of the body of a driver and an autonomous vehicle. I examine the cases of sensors and testing of Waymo. Bodies learn how to be affected and to articulate propositions. Both the human driver and the AV register more and more differences, multiplying articulated propositions. I argue that Latour’s concept is capable of tracing the fluid ontology of human and technological bodies. It allows us to follow the path of symmetrical description of people and technologies, to track the dynamics of bodies and see that they are not fixed. The analysis of such bodies cannot be considered in isolation from the artificially created set-up. Latour’s concept turns out to be relevant for technical and organic bodies.
Funding Information
Российский научный фонд, https://doi.org/10.13039/501100006769 [проект № 20-78-10106]
Citation
Kiseleva, M.E. 2022. Affitsiruemost’, artikuliatsii, obuchenie: k tekhnoantropologicheskoi simmetrizatsii tel voditelei i bespilotnykh avtomobilei [Affectation, Articulations, Learning: Towards Technoanthropological Symmetrization of Drivers and AVs Bodies]. Etnograficheskoe obozrenie 1: 49–67. https://doi.org/10.31857/S0869541522010043
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