# Mandatory AI Containment **Entity class:** Governance mechanism **Domain:** Artificial intelligence / Safety **Maturity:** Developed ## Definition Mandatory AI containment requires qualifying systems to operate within technical and organizational boundaries intended to limit unauthorized action or propagation. ## Mechanism and significance Containment can reduce risk when the protected assets, interfaces, permissions, monitoring, and failure responses are specified rather than invoked as a generic enclosure metaphor. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#AI Control, Law, and Alignment|AI Control, Law, and Alignment]] - **Primary fields:** [[AI Control]] · [[AI Safety]] · [[AI Infrastructure Consent]] - **Adjacent concepts:** [[Ro Khanna]] · [[Recursive-AI Prohibition]] · [[AI Shutdown Control]] · [[Embedded Government AI Auditor]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.