Dissecting the Algorithmic Leviathan: On the Socio-Political Anatomy of Algorithmic Governance

Philosophy and Technology 33 (3):467-485 (2020)
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Abstract

A growing literature is taking an institutionalist and governance perspective on how algorithms shape society based on unprecedented capacities for managing social complexity. Algorithmic governance altogether emerges as a novel and distinctive kind of societal steering. It appears to transcend established categories and modes of governance—and thus seems to call for new ways of thinking about how social relations can be regulated and ordered. However, as this paper argues, despite its novel way of realizing outcomes of collective steering and coordination, it can nevertheless be grasped with an old and fundamental figure in political philosophy: that of Thomas Hobbes’ Leviathan. Comparing algorithmic governance with this figure serves to highlight their similarities as socio-political arrangements, and specifically to clarify how algorithmic governance parallels the apolitical traits of the Leviathan—it eliminates the political as it requires compliance and forgoing contestation to best fulfill its role and to produce satisfying outcomes.

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References found in this work

The human condition [selections].Hannah Arendt - 2013 - In Timothy C. Campbell & Adam Sitze (eds.), Biopolitics: A Reader. Durham: Duke University Press.
Leviathan.Thomas Hobbes - 2007 - In Aloysius Martinich, Fritz Allhoff & Anand Vaidya (eds.), Early Modern Philosophy: Essential Readings with Commentary. Oxford: Wiley-Blackwell.
The Threat of Algocracy: Reality, Resistance and Accommodation.John Danaher - 2016 - Philosophy and Technology 29 (3):245-268.

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