On the individuation of complex computational models
Gilbert Simondon and the technicity of AI
Bibliographic Data
| ID | 20397642 |
|---|---|
| Authors | Susana Aires (0009-0008-9805-8388, King's College London, corresponding author) |
| Year | 2025 |
| Volume | 40 |
| Issue | 5 |
| Pages | 3109-3122 |
| Publication date | 2025-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-024-02152-2 |
| OpenAlex | W4405339666 |
| Language | EN |
| Citations received | 8 |
| References cited | 49 |
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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What the edge tells the cloud
The Google self as digital human twin
Humanizing
Credence, attribution, and creativity in the construction of literary meaning with generative artificial intelligence
Oriented Toward “My World”
Towards an Ecology of Time
Prospective Philosophy of Software
Cognitive Modeling
Sur la technique
Recursivity and Contingency
If…Then
Machine Learners
On the Existence of Digital Objects
Parallel Distributed Processing
Technics and Time, 1
A logical calculus of the ideas immanent in nervous activity
The perceptron
Explainable Artificial Intelligence (XAI)
Predictive privacy
The material politics of mobile virtual reality
Being with Technique–Technique as being-with
Did you give permission? Datafication in the mobile ecosystem
Enter the metrics
Technicity and the Virtual
Communication et information
The production of prediction
Thinking critically about and researching algorithms
Introduction
Engineering Pre-individual Potentiality
On the genealogy of machine learning datasets
How the machine 'thinks
Algorithms and their others
Racial formations as data formations
La revanche des neurones
Digital Humanism
Interactive Computation and Artificial Epistemologies
Beyond Human
| Citations per year | 8 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |