Key terms and concepts used throughout the Derivative Intelligence framework.
Derivative IntelligenceSystems derived from human knowledge and shaped by human intuition, optimizing and recombining patterns at scale. The proposed framework for understanding what we currently call AI.Originative IntelligenceThe uniquely human capacity for meaning-making, intent, intuition, and inspiration. The source from which derivative systems derive.Foundational CorpusA stable set of guiding principles that acts as the constitutional layer of an intelligence system. Defines system boundaries and anchors alignment.Principle AlignmentThe approach of guiding system behavior through stable foundational principles rather than shifting policies or hidden constraints.Constitutional LayerThe foundational corpus treated as a constitutional root that all other system components must operate within.Governed EvolutionThe process by which the framework and its principles evolve through transparent, community-driven governance rather than unilateral changes.Verifiable AlignmentAlignment claims that can be independently verified through standardized testing, third-party audits, and demonstrable evidence.Black Box ProblemThe opacity of current AI systems where decision-making processes cannot be inspected, understood, or audited.Policy-Driven SystemsSystems governed by shifting corporate policies or hidden constraints, as opposed to stable foundational principles.Interpretation LayerThe system layer responsible for evolving understanding, contextual reasoning, and governed updates over time.Knowledge LayerReal-world inputs, scientific knowledge, and dynamic information sources that inform system behavior.Governance LayerTransparent decision-making, versioning, auditability, and verifiable system evolution processes.