This article introduces the algomorphic threshold to analyze knowledge transformations in technosocial environments, suggesting implications for epistemology.
This article introduces the concept of the algomorphic threshold as a theoretical and epistemological tool to understand the transformations induced by generative artificial intelligence in the production of knowledge and subjectivity. Drawing on feminist epistemologies, actor-network theory, and the philosophy of individuation, the algomorphic threshold is presented not as a metaphor but as a conceptual device that enables critical analysis of hybrid, iterative, and performative processes. The article argues that the presence of algoagents in contemporary technosocial environments demands a rethinking of epistemological categories such as agency, neutrality, and objectivity. Through the lens of algomorphic sociology, the threshold emerges as a generative space of negotiation where human and non-human actors co-produce meaning, norms, and affective regimes. This framework not only highlights the political and situated nature of algorithmic infrastructures but also proposes a shift toward a relational and embodied understanding of knowledge—one that foregrounds co-dependence, partiality, and care.
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Edmondo Grassi (2025) studied this question.
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