# Liability-Driven Alignment **Entity class:** Governance mechanism **Domain:** Artificial intelligence / Product safety **Maturity:** Developed ## Definition Liability-driven alignment uses legal responsibility for harmful outputs or actions to create economic incentives for testing, monitoring, and reliability. ## Mechanism and significance The mechanism is strongest when duties and causal responsibility are clear enough to improve behavior without making every model provider liable for all downstream misuse. ## 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:** [[Reward Engineering]] · [[AI Soul Document]] · [[Criminal Penalties for Recursive Self-Improvement]] · [[System Prompt]] ## 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.