Skip to content

Generative AI, algorithmic subjectivation and the conditions of thought

Sep 2026 · Subjectivity · Vol 33, pp. 405 - 425 · 0 citations · 64 references
Digital Media and Philosophy

TL;DR

This work examines generative AI through its reorganization of the technical conditions of thought, and develops technical care from Stiegler’s pharmacology of technics as a structural practice that sustains individuation, responsibility, and subject formation within technical mediation.

View source

Similar papers

Open access Aug 2026

Alienated Intelligence

The concept of “alienated intelligence” is introduced to critically examine contemporary cultural perceptions of artificial intelligence to argue that certain visions of AI function as cultural projections of human cognitive capacities that become externalized, idealized, and reified in technological systems.

Jakub Walicki · 0 citations
#generative ai Review Open access Sep 2026

The convergence paradox: a constructivist account of perceived template convergence and originative agency under generative artificial intelligence

Generative artificial intelligence (AI) has raised a widely shared concern that human cognitive and creative output is drifting toward common templates. The terms used to describe this drift, including algorithmic monoculture, outcome homogenization, and the loss of collective diversity, all characterize systems, popul...

Qi-Tian Cao, Zi-Ran Zhou, Lin Wang et al. · 0 citations
Aug 2026

Meaning without risk: Nietzsche, artificial intelligence, and the algorithmic displacement of valuation

It is argued that contemporary artificial intelligence is best understood as a symptom and accelerator of modern nihilism rather than as a neutral instrument or proto-subject because it allows values to persist as calculable effects rather than contested commitments, thereby insulating human agents from the burden of j...

B. Hamamra · 0 citations
Open access Sep 2026

AI As Epistemic Enframing:

This study argues that AI embodies a calculative mode of thought that reduces knowledge to data, patterns, and predictive models, treating both the world and human subjects as resources for optimization, and proposes Heideggerian meditative thinking (Gelassenheit) as a framework for preserving human insight, reflection...

Ninio Sagucom · 0 citations
Open access Sep 2026

Hegemonikon and AI

The Stoic concept of the hegemonikon—the capacity for assent that directs the mind—is used as a framework for understanding intellectual creation and decision-making, clarifying when AI supports human judgment and when it replaces decision-making authority.

Christos A. Koutsotasios, Elias Vavouras · 0 citations

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.