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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Golden Thread of AI Subalternity: Epistemic Activism

Authors: Kherroubi Garcia, Ismael;

The Golden Thread of AI Subalternity: Epistemic Activism

Abstract

Abstract There is a rising tide of initiatives countering predominant AI practices and narratives. The social and environmental consequences of AI-dedicated data centres; the death, injury and human displacement involving AI-enabled lethal autonomous weapons; and the corrosion of educational institutions via the adoption of generative AI tools are just a few targets of diverse initiatives taking a stance against AI. However, these initiatives are generally siloed; they do not constitute a single movement but a fragmented patchwork. In this paper, I draw on Gramsci’s Prison Notebooks to make the case for unity among those running such initiatives, whom I call “AI subalterns.” Drawing on literature on epistemic injustice, I confront the AI subaltern with “ruling AI authorities”; those from the ruling classes with the ability to speak about AI with authority and thus perpetrate epistemic injustice. I argue that epistemic activism constitutes a key weapon in the AI subaltern’s arsenal, and that recognising how it is wielded by peers may help develop a sense of political consciousness. I show how the resulting unity among AI subalterns meets the criteria Gramsci sets out when describing how subalterns have historically coordinated successful political uprisings.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green