# AI Governance **Domain:** Artificial Intelligence / Law / Institutions **Doc Type:** Canonical Governance Node **Maturity:** Evolving ## Definition **AI governance** is the set of institutions, laws, technical controls and participatory processes that shape how machine-intelligence systems are built, evaluated, deployed and contested. ## Evolutionary Nexus [[articles/The Evolutionary Roots of Silicon Valley|The Evolutionary Roots of Silicon Valley]] supplies two precedents: Asilomar's explicit risk constraints and the public Human Genome Project's open infrastructure. One governs hazardous experimentation; the other governs access to foundational knowledge. ## Continuity Context Governance must cover systems as actors and as substrates for human continuity. It therefore includes model accountability, energy and custody, portability, identity evidence, appeal and the rights of possible machine subjects. ## Key Insight **AI governance must constrain power without freezing the ontology of who may eventually possess standing.** ## See Also [[wiki/Algorithmic Governance|Algorithmic Governance]], [[wiki/Constitutional Governance|Constitutional Governance]], [[wiki/Precautionary Principle|Precautionary Principle]], [[wiki/Moral Accountability Layer|Moral Accountability Layer]]