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Algorithmic Facial Image: Regimes of truth and datatication

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Algorithmic Facial Image : Regimes of truth and datatication. / Andreoli, Emanuele Nicolo.

In: A Peer-Reviewed Journal About, Vol. 7, No. 1, 06.07.2018, p. 1-14.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Andreoli, EN 2018, 'Algorithmic Facial Image: Regimes of truth and datatication', A Peer-Reviewed Journal About, vol. 7, no. 1, pp. 1-14.

APA

Andreoli, E. N. (2018). Algorithmic Facial Image: Regimes of truth and datatication. A Peer-Reviewed Journal About, 7(1), 1-14.

CBE

Andreoli EN. 2018. Algorithmic Facial Image: Regimes of truth and datatication. A Peer-Reviewed Journal About. 7(1):1-14.

MLA

Vancouver

Andreoli EN. Algorithmic Facial Image: Regimes of truth and datatication. A Peer-Reviewed Journal About. 2018 Jul 6;7(1):1-14.

Author

Andreoli, Emanuele Nicolo. / Algorithmic Facial Image : Regimes of truth and datatication. In: A Peer-Reviewed Journal About. 2018 ; Vol. 7, No. 1. pp. 1-14.

Bibtex

@article{83f86bea8a04489ebc5ad86df7fc29c4,
title = "Algorithmic Facial Image: Regimes of truth and datatication",
abstract = "The paper approaches the face as one of the most relevant and controversial bio-techno-political battlefield. Specifically, it tries to unfold the implications of the evolving processes of ‘machinization’ of the face related to the development of a number of tracking technologies that are nowadays reaching the mainstream public – from iPhone X unlocking by recognizing the face of its owner , to a new Mastercard technology allowing payment by tracking users’ faces , to app such as MSQRD and Face Stealer which allow users to modify their facial traits by assuming the ones of somebody else . If bio-tracking technologies such as the security face-tracking technologies named above are based on the idea that one’s face is unique and not replicable, the amount of entertaining face-tweaking apps available on the market seems to suggest exactly the opposite – face is trackable, its features tweakable, and its uniqueness hackable. Thus, the face turns into the site where contradictory regimes of truth coexist and feed each other in a form which keeps an appearance of immediacy while hiding layers of algorithmic complexity. This new regime of visibility related to the face brings along a paradoxical regime of truth. But how does this new regime of truth relate to processes of ‘datification’ and value extraction? The paper argues that from a hermeneutic perspective the art of circulationism and data extraction seems to lie on this ambivalence: the more immediate an image / information looks the more its networking value grows, the more a number of extractive practices are implemented behind its surface – or right on it, such as in the case of face tracking technologies.",
author = "Andreoli, {Emanuele Nicolo}",
year = "2018",
month = "7",
day = "6",
language = "English",
volume = "7",
pages = "1--14",
journal = "A Peer-Reviewed Journal About",
issn = "2245-7755",
publisher = "Digital Aesthetics Research Centre / Center for Digital {\AE}stetikforskning",
number = "1",

}

RIS

TY - JOUR

T1 - Algorithmic Facial Image

T2 - Regimes of truth and datatication

AU - Andreoli, Emanuele Nicolo

PY - 2018/7/6

Y1 - 2018/7/6

N2 - The paper approaches the face as one of the most relevant and controversial bio-techno-political battlefield. Specifically, it tries to unfold the implications of the evolving processes of ‘machinization’ of the face related to the development of a number of tracking technologies that are nowadays reaching the mainstream public – from iPhone X unlocking by recognizing the face of its owner , to a new Mastercard technology allowing payment by tracking users’ faces , to app such as MSQRD and Face Stealer which allow users to modify their facial traits by assuming the ones of somebody else . If bio-tracking technologies such as the security face-tracking technologies named above are based on the idea that one’s face is unique and not replicable, the amount of entertaining face-tweaking apps available on the market seems to suggest exactly the opposite – face is trackable, its features tweakable, and its uniqueness hackable. Thus, the face turns into the site where contradictory regimes of truth coexist and feed each other in a form which keeps an appearance of immediacy while hiding layers of algorithmic complexity. This new regime of visibility related to the face brings along a paradoxical regime of truth. But how does this new regime of truth relate to processes of ‘datification’ and value extraction? The paper argues that from a hermeneutic perspective the art of circulationism and data extraction seems to lie on this ambivalence: the more immediate an image / information looks the more its networking value grows, the more a number of extractive practices are implemented behind its surface – or right on it, such as in the case of face tracking technologies.

AB - The paper approaches the face as one of the most relevant and controversial bio-techno-political battlefield. Specifically, it tries to unfold the implications of the evolving processes of ‘machinization’ of the face related to the development of a number of tracking technologies that are nowadays reaching the mainstream public – from iPhone X unlocking by recognizing the face of its owner , to a new Mastercard technology allowing payment by tracking users’ faces , to app such as MSQRD and Face Stealer which allow users to modify their facial traits by assuming the ones of somebody else . If bio-tracking technologies such as the security face-tracking technologies named above are based on the idea that one’s face is unique and not replicable, the amount of entertaining face-tweaking apps available on the market seems to suggest exactly the opposite – face is trackable, its features tweakable, and its uniqueness hackable. Thus, the face turns into the site where contradictory regimes of truth coexist and feed each other in a form which keeps an appearance of immediacy while hiding layers of algorithmic complexity. This new regime of visibility related to the face brings along a paradoxical regime of truth. But how does this new regime of truth relate to processes of ‘datification’ and value extraction? The paper argues that from a hermeneutic perspective the art of circulationism and data extraction seems to lie on this ambivalence: the more immediate an image / information looks the more its networking value grows, the more a number of extractive practices are implemented behind its surface – or right on it, such as in the case of face tracking technologies.

M3 - Journal article

VL - 7

SP - 1

EP - 14

JO - A Peer-Reviewed Journal About

JF - A Peer-Reviewed Journal About

SN - 2245-7755

IS - 1

ER -