Seeing threats, sensing flesh: human-machine ensembles at work

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

Seeing threats, sensing flesh : human-machine ensembles at work. / Møhl, Perle.

I: AI & Society: Journal of Knowledge, Culture and Communication, Bind 36, 2021, s. 1243–1252.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Møhl, P 2021, 'Seeing threats, sensing flesh: human-machine ensembles at work', AI & Society: Journal of Knowledge, Culture and Communication, bind 36, s. 1243–1252. https://doi.org/10.1007/s00146-020-01064-1

APA

Møhl, P. (2021). Seeing threats, sensing flesh: human-machine ensembles at work. AI & Society: Journal of Knowledge, Culture and Communication, 36, 1243–1252. https://doi.org/10.1007/s00146-020-01064-1

Vancouver

Møhl P. Seeing threats, sensing flesh: human-machine ensembles at work. AI & Society: Journal of Knowledge, Culture and Communication. 2021;36:1243–1252. https://doi.org/10.1007/s00146-020-01064-1

Author

Møhl, Perle. / Seeing threats, sensing flesh : human-machine ensembles at work. I: AI & Society: Journal of Knowledge, Culture and Communication. 2021 ; Bind 36. s. 1243–1252.

Bibtex

@article{0982a2e8130f4c6091441d933b718d5f,
title = "Seeing threats, sensing flesh: human-machine ensembles at work",
abstract = "Based on detailed descriptions of human–machine ensembles, this article explores how humans and machines work together to see specific things and unsee others, and how they come to co-configure one another. For seeing is not an automated function; whether one is a human or a machine, vision is gradually enskilled and mutually co-constituted. The analysis intersects three different ways of human–machine seeing to shed further light on the workings of each one: an airport, where facial recognition algorithms collaborate with border guards to grant passage to particular travellers and not to others; a luggage-scanning system, where potential security threats are assessed by a complex of X-rays and human intro-spection; and a hospital operating room, where human–machinic surgical robots find their way and operate on the insides of human bodies, touching only by seeing. In these examples, human and machine ways of seeing merge together, seeing in particular apparatuses of material, political, organisational, economic and fleshy components. The article analyses the practical work of human–machinic collaboration and explores how the different material and social constituents, not necessarily always working from the same agenda, come to configure what can be seen and sensed and what cannot.",
keywords = "Faculty of Social Sciences, Human–machine interfaces, Visual enskillment, Sensory anthropology, Facial recognition, X-ray scanning, Robotic surgery",
author = "Perle M{\o}hl",
year = "2021",
doi = "10.1007/s00146-020-01064-1",
language = "English",
volume = "36",
pages = "1243–1252",
journal = "AI and Society",
issn = "0951-5666",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Seeing threats, sensing flesh

T2 - human-machine ensembles at work

AU - Møhl, Perle

PY - 2021

Y1 - 2021

N2 - Based on detailed descriptions of human–machine ensembles, this article explores how humans and machines work together to see specific things and unsee others, and how they come to co-configure one another. For seeing is not an automated function; whether one is a human or a machine, vision is gradually enskilled and mutually co-constituted. The analysis intersects three different ways of human–machine seeing to shed further light on the workings of each one: an airport, where facial recognition algorithms collaborate with border guards to grant passage to particular travellers and not to others; a luggage-scanning system, where potential security threats are assessed by a complex of X-rays and human intro-spection; and a hospital operating room, where human–machinic surgical robots find their way and operate on the insides of human bodies, touching only by seeing. In these examples, human and machine ways of seeing merge together, seeing in particular apparatuses of material, political, organisational, economic and fleshy components. The article analyses the practical work of human–machinic collaboration and explores how the different material and social constituents, not necessarily always working from the same agenda, come to configure what can be seen and sensed and what cannot.

AB - Based on detailed descriptions of human–machine ensembles, this article explores how humans and machines work together to see specific things and unsee others, and how they come to co-configure one another. For seeing is not an automated function; whether one is a human or a machine, vision is gradually enskilled and mutually co-constituted. The analysis intersects three different ways of human–machine seeing to shed further light on the workings of each one: an airport, where facial recognition algorithms collaborate with border guards to grant passage to particular travellers and not to others; a luggage-scanning system, where potential security threats are assessed by a complex of X-rays and human intro-spection; and a hospital operating room, where human–machinic surgical robots find their way and operate on the insides of human bodies, touching only by seeing. In these examples, human and machine ways of seeing merge together, seeing in particular apparatuses of material, political, organisational, economic and fleshy components. The article analyses the practical work of human–machinic collaboration and explores how the different material and social constituents, not necessarily always working from the same agenda, come to configure what can be seen and sensed and what cannot.

KW - Faculty of Social Sciences

KW - Human–machine interfaces

KW - Visual enskillment

KW - Sensory anthropology

KW - Facial recognition

KW - X-ray scanning

KW - Robotic surgery

U2 - 10.1007/s00146-020-01064-1

DO - 10.1007/s00146-020-01064-1

M3 - Journal article

VL - 36

SP - 1243

EP - 1252

JO - AI and Society

JF - AI and Society

SN - 0951-5666

ER -

ID: 239313187