Sul mito della neutralità algoritmica

Massimo Airoldi and Daniele Gambetta
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Massimo Airoldi: EM - EMLyon Business School

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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.

Keywords: algorithms; Neutrality; Machine Learning; Foucault; STS (search for similar items in EconPapers)
Date: 2018-10-01
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Published in The Lab's Quarterly, 2018, XX (4), 25-45 p

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02312398

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