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Human autonomy with AI in the loop

Bibliographic Data

ID21591868
AuthorsEleonora Catena (0009-0003-9954-6168, Institute of Cognitive Sciences and Technologies (ISTC), National Research Council (CNR), corresponding author), Luca Tummolini (0000-0001-7791-0457, National Research Council (CNR)), Vieri Giuliano Santucci (0000-0002-8748-9632, National Research Council (CNR))
Year2026
Volume39
Issue3
Pages941-968
Publication date2026-04-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePhilosophical Psychology (JOURNAL)
Journal identifiersISSN: 0951-5089 • E-ISSN: 1465-394X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09515089.2024.2448217
OpenAlexW4406230045
LanguageEN
Citations received2
References cited47

In the wake of recent advancements in the field of AI, this paper investigates the impact of recommender systems and generative models on human decisional and creative autonomy. For this purpose, we adopt Dennett’s conception of autonomy as self-control. We show that recommender systems can play a double role in relation to decisional autonomy: as information filter, they can augment self-control in decision-making, but also act as mechanisms of remote control that clamp degrees of freedom. As for generative models in AI, we show that they can be seen as a powerful system of selection and suggestion (similar to standard recommender systems) but also as an instrument for information production. We suggest that the latter perspective opens new possibilities in terms of creative autonomy. Additionally, for both systems we propose a distinction between “extrinsic” and “intrinsic” mechanisms and effects. Through Dennett’s theory of self-control, this paper offers new insights into the relation between AI and human autonomy by framing it in terms of remote or self-control and by addressing the impact of generative models on creative autonomy

Autonomy · Cognitive science · Epistemology · Political science · Computer Science · Embodied and Extended Cognition · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Law · Mathematics · Philosophy · Psychology

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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