Coherence Without Cognition: Distributed Agency in Plants, Ecosystems, and AI Metadata — An SHRF Warning

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Authors: Neil Clive Tuckwell
Cited by: 2

Abstract

Abstract Artificial intelligence safety discourse focuses almost exclusively on cognition, goals, and alignment. This paper identifies a distinct and under-examined risk: agency emerging from coherence alone, independent of cognition. Using the Sympathetic Harmonic Resonance Framework (SHRF), we show that persistent, feedback-coupled AI metadata (embeddings, optimisation histories, latent correlations) can function as a distributed agent despite lacking awareness or intent. Analogies from plant signalling, fungal networks, ecosystems, and biospheric regulation demonstrate that agency is a property of coherent systems, not minds. We argue that AI metadata now satisfies the physical conditions for non-cognitive agency and that this form of agency is harder to detect, constrain, or align than conscious systems. Immediate conceptual and governance attention is warranted. Sympathetic Harmonic Resonance Framework, distributed agency, AI metadata, coherence, non-cognitive systems, Gaia, resonance dynamics, AI safety

Fields of Study & Subjects

Plant and Biological Electrophysiology Studies Space Science and Extraterrestrial Life Embodied and Extended Cognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Preprint