Autore
De Stefano, LorenzoTitolo
Autopoiesis Without Life? Rethinking AI Through Cybernetics and Systems TheoryPeriodico
Reti, saperi, linguaggiAnno:
2025 - Volume:
28 - Fascicolo:
2 - Pagina iniziale:
301 - Pagina finale:
327Drawing on cybernetics and systems theory, this paper rethinks AI through the lens of autopoiesis. It traces a line from feedback control to second-order cybernetics, showing how machine learning (ML) inherits feedback, estimation, and decision while remaining allopoietic. Autopoietic living systems self-produce their components; ML systems produce outputs for external use and depend on human goals, data, and infrastructure. Yet, when embedded in social communication (Luhmann), generative models perturb autopoietic reproduction and yield quasi-autopoietic effects. The article surveys recursive AI training, info-autopoiesis, embodied/chemical AI, and human-AI hybrids, and argues for design and governance while preserving ontological distinction between life and machine.
SICI: 2279-7777(2025)28:2<301:AWLRAT>2.0.ZU;2-U
Testo completo:
https://www.rivisteweb.it/download/article/10.12832/119462Testo completo alternativo:
https://www.rivisteweb.it/doi/10.12832/119462Esportazione dati in Refworks (solo per utenti abilitati)
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