From the recommendation of cultural content to the identification of potential criminals, a growing number of activities are ordinarily delegated to algorithms and AI systems. These are narrated as neutral technologies which make complex processes more efficient and lead to objective results. However, a wide literature argues that algorithms are social products that reflect the particular interests, cultural assumptions and biases of individuals and organizations. The present contribution aims to deconstruct in a Foucaultian way the algorithmic neutrality myth, illustrating its genesis, discursive facets and weaknesses, also drawing from a series of empirical cases. In the conclusion, we propose a counternarrative of the algorithm focused on explainability and collective sovereignty.

Sul mito della neutralità algoritmica / M. Airoldi, D. Gambetta. - In: THE LAB'S QUARTERLY. - ISSN 2035-5548. - 20:4(2018 Dec), pp. 25-46.

Sul mito della neutralità algoritmica

M. Airoldi
Primo
;
2018

Abstract

From the recommendation of cultural content to the identification of potential criminals, a growing number of activities are ordinarily delegated to algorithms and AI systems. These are narrated as neutral technologies which make complex processes more efficient and lead to objective results. However, a wide literature argues that algorithms are social products that reflect the particular interests, cultural assumptions and biases of individuals and organizations. The present contribution aims to deconstruct in a Foucaultian way the algorithmic neutrality myth, illustrating its genesis, discursive facets and weaknesses, also drawing from a series of empirical cases. In the conclusion, we propose a counternarrative of the algorithm focused on explainability and collective sovereignty.
Algorithms; Neutrality; Machine Learning; Foucault; STS;
Settore SPS/08 - Sociologia dei Processi Culturali e Comunicativi
Settore SPS/07 - Sociologia Generale
dic-2018
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/892772
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