01.Introduction
Systems
Institutions
Architectures
AI, Design and Society
Declarations
Commitments
Consequences
Every system makes a claim about what is real — in its data models, its governance structures, its financial instruments. These ontological commitments determine what can be measured, trusted, and acted upon. What gets excluded doesn't just become invisible; it becomes impossible. The most consequential design surface is the one most often treated as an implementation detail: the ontological layer beneath the interface, the algorithm, and the governance document. Trust is not an assertion to be marketed but a structural property to be produced — and closing the gap between what systems declare and what they deliver should not require a crisis.
The publication is structured as a convergence arc. Three foundation essays each establish ontological commitments within a single domain — Cooperative AI asks what counts as an agent and what cooperation requires of one; Value Collectives asks what kind of entity a shared value is and whether collective alignment is aggregated or emergent; Trust Architecture asks whether trust is a computational property, an institutional fact, or both, and what a coherent trust ontology demands of the systems that claim it. Each essay carries an ontological inventory: an explicit accounting of the entities, relations, and properties the argument commits to. A capstone synthesis demonstrates that these commitments must be mutually coherent — and that where they aren't, real design failures follow.
Mapping systemic risk across the boundaries that existing frameworks don't see. After Lombardi's narrative structures — hand-drawn networks tracing hidden financial and political interconnections — and the ancient practice of classifying what exists through branching categories, by way of Minsky and Gruber's "specification of a conceptualization."