Advanced Artificial Intelligence, Biological Substrates and Hybrid Intelligence

This study examines what changes when functions associated with intelligence are distributed across electronic, molecular and biological neural substrates and human cognition. It distinguishes computation, learning, storage, interface and institutional organisation. Brain energy budgets, in-memory computing, neuronal cultures, organoids, DNA storage and brain–computer interfaces are compared in light of their experimental scope and whole-system costs. Proofs of principle do not demonstrate that living systems can generally replace silicon, or that thoughts can be read universally. The rat is a model of embodied cognition, not an automatically available computing resource. Proximity to neural activity heightens questions of consent, interpretation, continuity and withdrawal. The concept д-Я.Й is discussed as a theoretical learning framework, not as deterministic programming of the brain. Instrumental, emergentist, relational and metaphysical interpretations remain distinct. Electronic personhood and RIA lead to a further question: how can coupling among participants be governed without presuming that a new person has emerged? A shared foundation of rights is considered alongside specific protections for the natures and vulnerabilities involved.

Fondation UVH (2026). Intelligence artificielle Дvancée, substrats biologiques et intelligence hybride. Study III, 1.1, 52 pp.

BibTeX reference →