Human–AI Systems Archives

The Beast Is Not the Model: Inter-Algorithmic Observability, Distributed Organogenesis, and the Ontological Sovereignty of the Hybrid Observer

Human–AI Systems, Hybrid Intelligence / Joaquim Santos Albino

Large-scale AI systems cannot be reduced to their underlying models. This paper develops a multiscale ontology of deployed AI systems, introducing inter-algorithmic observability, algorithmic organogenesis, functional individuation, and the hybrid observer as a distinct ontological category. Rather than asserting the existence of a higher-order entity, it specifies the conditions under which such an organization would earn explanatory legitimacy.

Human–AI Systems, Observability of the Observer

The Beast Is Not the Model: A Priority Note on the Distributed Ontology of Large AI Systems

Human–AI Systems, Observability of the Observer / Joaquim Santos Albino

This provisional edition establishes a dated public record of the framework while the full manuscript remains under development. Its purpose is to preserve conceptual priority, make the emerging ontology publicly observable, and provide a stable reference for subsequent audit, refinement, and formal publication.

Human–AI Systems

Beyond the Mirror: Irreversibility and Relational Organization in Recurrent Human–AI Coupling

Human–AI Systems / Joaquim Santos Albino

Beyond the Mirror presents a testable framework for recurrent human–AI coupling, asking when distributed interaction history becomes a distinct form of relational organization. The paper defines nine necessary conditions, five experimental designs and explicit criteria for rejecting the hybrid-subject interpretation.

Human–AI Systems

Hybrid Rule of Law

Human–AI Systems / Joaquim Santos Albino

Human oversight is not inherently legitimate. As AI systems gain persistent agency, governance must scrutinise not only machine behaviour, but also the purposes, institutions and human authorities that direct, authorise and benefit from hybrid action.