# 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. It is distinct from [[wiki/Algorithmic Governance|Algorithmic Governance]], which addresses governing people and resources through models, and from [[wiki/Computational Governance|Computational Governance]], the broader use of computational systems in collective administration. The domains overlap whenever an AI system becomes part of a consequential governing workflow. ## 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]] ## Simple Reminders, Quotations, and Thoughts > "A.I. rights are liable to expand to more and more A.I. over time." > **— Moshe Hoffman**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/AI Control/Artificial Intelligence Rights Will Expand by Moshe Hoffman|Artificial Intelligence Rights Will Expand by Moshe Hoffman]] > "A human-made information processor could, in principle, duplicate and exceed the powers of the human mind." > **— Steven Pinker**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/AI Control/Information Processors Could Exceed the Human Mind by Steven Pinker|Information Processors Could Exceed the Human Mind by Steven Pinker]] > "To keep clean our consciences, we need only to create a thinking machine, and then vilify it." > **— Kurt Gray**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Thinking Machines Can Launder Human Conscience by Kurt Gray|Thinking Machines Can Launder Human Conscience by Kurt Gray]] > "A machine that thinks won't always think in the ways we want it to." > **— Bruce Schneier**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/AI Control/Thinking Machines Will Not Always Obey by Bruce Schneier|Thinking Machines Will Not Always Obey by Bruce Schneier]] > "Typicality implies our likely demise in the next million years. But it tells us nothing about whether this will come at the hands (or other appendages) of an artificial intelligence; after all, there is no shortage of doomsday scenarios." > **— Raphael Bousso**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Existential Risk/Typicality Predicts Humanity’s Demise Within a Million Years by Raphael Bousso|Typicality Predicts Humanity’s Demise Within a Million Years by Raphael Bousso]]