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Ruben Laukkonen

Centre for Eudaimonia and Human Flourishing, University of Oxford

Position on AI consciousness

Laukkonen argues that consciousness arises when a predictive system's generative model includes the model-making process itself, the circular strange loop structure of the Beautiful Loop theory.

Ruben Laukkonen is best known on this site for A Beautiful Loop, the active inference theory of consciousness he published with Karl Friston and Shamil Chandaria in Neuroscience and Biobehavioral Reviews in 2025. The theory’s central claim is geometric. Consciousness arises when a system’s predictions turn back upon themselves, when the generative model includes the model-making process as one of its variables, producing the self-referential structure that Hofstadter called a strange loop. The claim grounds experience in predictive processing rather than in any particular substrate, which is why the site’s active inference analysis treats it as the theory family’s sharpest recent formulation.

His broader research programme covers insight and belief updating, how restructuring changes what a system models, which connects the theory of consciousness to the psychology of learning. In 2026 he joined the fourteen-author framework From Cacophony to Hierarchy, where the measurement layer places predictive processing among the computational-functional theories at level 2 of the hierarchy while leaving its organismic and enactivist readings available at higher levels. On the site’s taxonomy he sits in the predictive processing family, and his presence in both collaborations makes him one of the few researchers linking the free energy programme directly to AI consciousness assessment methodology.

Known for. A Beautiful Loop, the active inference theory of consciousness with Friston and Chandaria, research on insight and belief updating

Coverage on this site

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