Consciousness by Design

The Field–Node–Cockpit (FNC) framework provides an operational ontology for consciousness-relevant systems. It addresses three converging challenges: an engineering problem (designing brain–computer interfaces that preserve subjective experience), a regulatory problem (operationalizing “consciousness-relevant” systems under the EU AI Act), and a research problem (distinguishing conscious patients who lack behavioral output from unconscious patients with intact neural activity). This paper advances FNC from a philosophical framework to a design specification by (1) deriving a universal architectural constraint requiring three distinct layers in any consciousness-relevant system, (2) specifying an operational exclusion criterion, (3) articulating ethical implications via a tracking hypothesis according to which moral status correlates with cockpit-level phenomenal rendering, (4) distinguishing architectural necessity from contingent implementation hypotheses, and (5) generating four falsifiable predictions with explicit test conditions. Unlike existing theories of consciousness, FNC is substrate-independent, remains ontologically agnostic regarding field-layer reduction, and provides operationally measurable criteria applicable to both biological systems and artificial intelligence. The framework’s explanatory utility is illustrated through clinical cases (cognitive motor dissociation, anesthesia, persistent vegetative state) and a regulatory application mapping FNC layers to EU AI Act risk categories. The success of the framework is evaluated not by resolving the hard problem of consciousness, but by its capacity to structure empirical research, ethical assessment, and design decisions in consciousness-relevant domains.