JURISDICTION MODULE · US
United States AI Governance
Federal, state, local, sector, procurement, and enforcement landscape
Review United States AI governance without converting a distributed legal landscape into a single national rule. Preserve the issuing authority, jurisdiction, sector, regulated activity, effective date, enforcement basis, and relationship between federal, state, local, and voluntary sources.
AUTHORITY BOUNDARY
Preserve legal force before mapping governance.
A federal framework, agency action, state statute, municipal rule, procurement condition, sector obligation, and voluntary standard do not carry the same legal force. Each source must remain attached to the authority that issued it and the activity it can actually govern.
SOURCE FAMILIES
Enter through the authority that can govern the activity.
This module separates source families so a route can identify what is binding, what is conditional, what is interpretive, and what remains voluntary.
01Federal statutes and agency regulations
02Executive and administrative instruments
03State statutes, regulations, and enforcement actions
04Municipal and local automated-decision requirements
05Civil-rights, employment, consumer-protection, and sector law
06Government procurement and contractual controls
07Standards, frameworks, and voluntary guidance
08Court decisions, regulator interpretations, and official notices
APPLICABILITY CONTROL
A jurisdiction name alone never establishes applicability.
A bounded legal route must identify the actor, activity, system, sector, geography, timing, authority, and triggering condition before any compliance conclusion is allowed to move toward execution.
Federal, state, local, tribal, or multi-jurisdiction activity
Developer, provider, deployer, operator, purchaser, or affected party
Public-sector, employment, credit, housing, health, education, or consumer use
Automated decision, consequential decision, generative output, or supporting tool
Existing sector law, civil-rights duty, procurement term, or AI-specific rule
Effective date, transition period, exemption, threshold, and enforcement authority
EVIDENCE EXPECTATIONS
Translate duties into inspectable records.
Evidence must support the exact claim, role, system, version, period, and jurisdiction under review. A policy statement alone does not prove execution.
01
System purpose, role assignment, and jurisdictional nexus
Preserve source, owner, date, scope, continuity, and review status.
02
Impact, risk, testing, validation, and monitoring records
Preserve source, owner, date, scope, continuity, and review status.
03
Notices, explanations, appeal pathways, and human-review records
Preserve source, owner, date, scope, continuity, and review status.
04
Data provenance, evaluation boundaries, and material-change history
Preserve source, owner, date, scope, continuity, and review status.
05
Procurement terms, vendor representations, and allocation of responsibility
Preserve source, owner, date, scope, continuity, and review status.
06
Incident, complaint, correction, enforcement, and outcome records
Preserve source, owner, date, scope, continuity, and review status.
GOVERNANCE LIBRARY RECORDS
Available sources for United States.
guidancepublished
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
A companion profile to the NIST AI RMF addressing risks and actions specific to generative artificial intelligence.
National Institute of Standards and TechnologyOpen record →
guidancepublished
Blueprint for an AI Bill of Rights
A nonbinding framework describing protections for people affected by automated systems.
White House Office of Science and Technology PolicyOpen record →
guidancepublished
Federal Trade Commission Artificial Intelligence Guidance
A body of consumer-protection guidance and enforcement messaging addressing deceptive, unfair, discriminatory, and unsupported AI practices.
Federal Trade CommissionOpen record →
frameworkvoluntary
NIST Artificial Intelligence Risk Management Framework
A voluntary framework for managing risks associated with artificial intelligence across organizational and system lifecycles.
National Institute of Standards and TechnologyOpen record →
guidancepublished
OMB Memorandum M-24-10: Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Federal agency guidance establishing governance, innovation, inventory, and risk-management expectations for agency use of artificial intelligence.
Office of Management and BudgetOpen record →
ROUTE QUESTIONS
Questions that must be resolved before execution.
01Which authority can bind this actor and this activity?
02Is the source enacted law, enforceable regulation, official guidance, or voluntary practice?
03Does an existing sector or civil-rights obligation govern before an AI-specific rule is considered?
04Which state or local requirements attach to the system's use or affected population?
05What evidence supports each bounded duty without overstating national applicability?
06What unresolved issue requires counsel, regulator guidance, or further factual development?
TA-14 LEGAL IMPLEMENTATION METHOD
From official source to governed determination.
Source
Preserve the official instrument, issuing authority, version, date, language, and publication record.
Applicability
Determine jurisdiction, actor, role, system, sector, exclusions, thresholds, and timing conditions.
Requirement
Separate each obligation, prohibition, exception, responsible actor, and triggering condition.
Evidence
Identify the records, authority, controls, continuity, and outcomes needed to support the requirement.
Route
Compile the bounded requirement into bindings, commitments, execution limits, and decision gates.
Verification
Preserve the determination so another reviewer can inspect, challenge, replay, and correct it.
BUILD THE GOVERNED ROUTE
Do not turn a legal summary into execution permission.
Preserve the official source, map applicability, attach bounded evidence, identify unresolved conditions, and route the result through an inspectable TA-14 determination.