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On the individuation of complex computational models

Gilbert Simondon and the technicity of AI

Bibliographic Data

ID20397642
AuthorsSusana Aires (0009-0008-9805-8388, King's College London, corresponding author)
Year2025
Volume40
Issue5
Pages3109-3122
Publication date2025-06-01
Open AccessYes
TypeARTICLE
VenueAI & Society (JOURNAL)
Journal identifiersISSN: 0951-5666 • E-ISSN: 1435-5655
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00146-024-02152-2
OpenAlexW4405339666
LanguageEN
Citations received8
References cited49

The proliferation of AI systems across all domains of life as well as the complexification and opacity of algorithmic techniques, epitomised by the bourgeoning field of Deep Learning (DL), call for new methods in the Humanities for reflecting on the techno-human relation in a way that places the technical operation at its core. Grounded on the work of the philosopher of technology Gilbert Simondon, this paper puts forward individuation theory as a valuable approach to reflect on contemporary information technologies, offering an analysis of the functioning of deep neural networks (DNNs), a type of data-driven computational models at the core of major breakthroughs in AI. The purpose of this article is threefold: (1) to demonstrate how a joint reading of Simondon’s mechanology and individuation theory, foregrounded in the Simondonian concept of information, can cast new light on contemporary algorithmic techniques by considering their situated emergence as opposed to technical lineage; (2) to suspend a predictive framing of AI systems, particularly DL techniques, so as to probe into their technical operation, accounting for the data-driven individuation of these models and the integration of potentials as functionality; and finally, (3) to argue that individuation theory might in fact de-individuate AI, in the sense of disassembling the already-there, the constituted, paving the way for questioning the potentialities for data and their algorithmic relationality to articulate the unfolding of everyday life

Cognitive science · Individuation · Psychoanalysis · Computer Science · Embodied and Extended Cognition · Philosophy · Psychology

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  • Credence, attribution, and creativity in the construction of literary meaning with generative artificial intelligence

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    Open Access•Bo Cheng, 博和 山城 et al.•Global Media and China•2026

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    Open Access•Nuoyang Sun, Ningxiang Sun•Theory Culture & Society•2026

  • Prospective Philosophy of Software

    Open Access•Coline Ferrarato•Prospective Philosophy of Software•2019

  • Cognitive Modeling

    Open Access•Bruce MacLennan, Bruce J MacLennan•International Encyclopedia of the…•2015

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  • Recursivity and Contingency

    Yuk Hui•Recursivity and Contingency•2019

  • If…Then

    Taina Bucher•If... Then•2018

  • Machine Learners

    Adrian Mackenzie•Machine Learners•2017

  • On the Existence of Digital Objects

    Yuk Hui, Bernard Stiegler•On the Existence of Digital Objects•2016

  • Parallel Distributed Processing

    David E Rumelhart, James L Mcclelland et al.•Parallel Distributed Processing•1986

  • Technics and Time, 1

    Bernard Stiegler•Technics and Time, 1•1998

  • A logical calculus of the ideas immanent in nervous activity

    Open Access•Warren S Mcculloch, Walter Pitts•Bulletin of Mathematical Biology•1943

  • The perceptron

    Frank F Rosenblatt, F Rosenblatt•Psychological Review•1958

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    Open Access•Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez et al.•Information Fusion•2020

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    Open Access•Rainer Mühlhoff•Ethics and Information Technology•2021

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  • Technicity and the Virtual

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    Open Access•Adrian Mackenzie•European Journal of Cultural…•2015

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    Mark Hayward, Bernard Dionysius Geoghegan•SubStance•2012

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    Mark B N Hansen•SubStance•2012

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Citations per year8
Citation span2025 - 2026 (2)
Highly citedNo

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