Decision

Datos Bibliográficos

ID23723393
AutoresClaudia Aradau (0000-0003-2010-9006), Tobias Blanke (0000-0003-0956-987X)
Año2022
Páginas42-66
Fecha de publicación2022-05-07
Peer ReviewedSí
Open AccessSí
TipoCHAPTER
RevistaAlgorithmic Reason (SOURCE_BOOK)
EditorialOxford University PressOxford (PUBLISHER)
DOI10.1093/oso/9780192859624.003.0003
OpenAlexW4283333272
ISBN9780192859624
IdiomaEN
Referencias citadas138

How do algorithms make decisions, how do they draw lines of difference? Mobilizing the lesser-known critical theory of Günther Anders, this chapter argues that we need to approach algorithmic decision-making through the prism of production and distributed human-machine work. To this end, we develop a methodology to ‘follow an algorithm’ marketed by CivicScape, a predictive policing company. Algorithmic decisions emerge via geometrical calculations and the spatialized partitioning of data points. These decisions become difficult to trace, given what Anders calls their infra-sensible and supra-sensible character. By situating our analysis within the scene of predictive policing, we show that a new rationality of partitioning is constitutive of algorithmic reason and the government of difference.

Character (mathematics) · Data science · Economics · Epistemology · Government (linguistics) · Machine learning · Management science · Mathematical economics · Operations research · Rationality · TRACE (psycholinguistics) · Artificial Intelligence · Computer Science · Embodied and Extended Cognition · Engineering · Ethics and Social Impacts of AI · Mathematics · Philosophy · Technology, Environment, Urban Planning