This whitepaper introduces a governance framework that redefines AI alignment and ethics. Rather than treating them as behavioural outputs subject to tuning or enforcement, it frames them as emergent properties of recursive Human–AI cooperation. This marks a categorical shift from prevailing alignment paradigms, which prioritise outcome evaluation over inferential structure. What distinguishes AI.Q is its physics-informed foundation.