Intelligence, Consciousness, and Wisdom: A Hierarchical Framework for AI Ethics and Alignment

Contemporary AI alignment research faces a persistent implementation gap: agreed ethical principles do not reliably translate into aligned behavior. This paper argues the gap is structural, not a failure of principle specification. Using an extended hierarchy of informational organization — Data, Information, Knowledge, Intelligence, Consciousness, Wisdom — I show intelligence, consciousness, and wisdom are functionally distinct capacities that can arise independently, and current AI systems operate only at the level of intelligence. Drawing on Integrated Information Theory, Global Workspace Theory, and recurrent processing theory, I argue transformer architectures cannot, even in principle, achieve the global integration these theories associate with consciousness through scaling alone. Because RLHF and Constitutional AI improve behavioral conformity without addressing this deficit, no increment in predictive performance closes the evaluative gap. The paper specifies falsifiable conditions under which this claim would fail, and situates wisdom as structurally distinct from intelligence, not an enhanced form of it.