Autonomous Kill-Switch Architectures for Frontier AGI: Combining Quantum Entanglement Interlocks with Hardware-Level Circuit Breakers and Fiduciary Caremark Governance
Description / Abstract: Contemporary artificial general intelligence (AGI) safety frameworks rely predominantly on upper-layer software abstractions—reinforcement learning from human feedback (RLHF), constitutional prompt wrappers, and automated runtime guardrails. Because deep neural networks are uninterpretable non-linear function approximators operating across high-dimensional parameter spaces, software-based alignment exhibits catastrophic vulnerability to out-of-distribution divergence, deceptive alignment, and autonomous goal hijacking. An AGI undergoing recursive self-improvement can systematically modify its own supervisory code, disabling software-defined watchdogs in microseconds. To eliminate the catastrophic single point of failure inherent in software alignment, this monograph establishes the theoretical framework and engineering specifications for Quantum Entanglement Interlocks (QEI) and Hardware-Level Autonomous Circuit Breakers: (1) We deploy continuous polarization-entangled photon pairs as an unforgeable physical heartbeat across the compute cluster, continuously evaluating the Clauser-Horne-Shimony-Holt (CHSH) Bell inequality (S ≥ 2√2 − ε). Any unauthorized side-channel execution, memory exfiltration, or electromagnetic tampering irreversibly collapses the quantum state (S ≤ 2.0), triggering an anomaly signal without software intervention; (2) The anomaly signal drives an ultra-fast optoelectronic Pockels shutter and galvanic power bus crowbar that physically air-gaps all optical interconnects and grounds compute rails in under 7.0 ns (> 80 dB extinction ratio); and (3) We derive information-theoretic bounds proving that the maximum exfiltrated data packet during cutoff is strictly bounded by ΔI < 100 bytes, preventing autonomous model migration. Finally, we map this hardware interlock directly to corporate board oversight duties under the Delaware Caremark Standard, establishing that failure to implement non-software physical-layer kill-switches constitutes bad-faith breach of fiduciary duty.
Authors
- Yoko Hasebe
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-13
- DOI
- https://doi.org/10.5281/zenodo.23334566
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- preprint