AI–Robotics Metaphysical Exoscience Innovation Engine: A Safety, Audit and Accountability Architecture for Embodied AI, Material-Embedded Intelligence, Robot Scientists, Social Robotics and Quantum-AI Claim Boundaries

This master whitepaper proposes a fourteen-branch AI–robotics exoscience architecture that organizes machine consciousness, synthetic phenomenology, embodied AI, active inference, morphological computation, biohybrid robotics, neuromorphic robotics, social robotics, robot legal ontology, autonomous robot scientists, swarm intelligence, material-embedded intelligence, technospirituality and quantum-AI claim boundaries into a unified safety, audit, accountability and governance framework. The work does not claim that robots or AI systems are conscious, sentient or metaphysically equivalent to humans. Instead, it presents a systems architecture for safety kernels, non-suffering internal-state communication, material-state audit, legal black boxes, responsibility graphs, scientific discovery audit, ontological honesty, anti-oracle design, quantum claim boundaries, benchmarks and governance gates.