Extraterritorial reach
A regulatory feature where a jurisdiction's requirements apply to conduct or content originating outside that jurisdiction's borders, based on the requirement's effect inside the jurisdiction; China's labeling and certain algorithm filing requirements, and the EU AI Act's general-purpose-AI-model scope provisions, both carry meaningful extraterritorial reach relevant to a foreign provider serving that market from abroad.
Defined in 4 GAGE programs, which carry 9 distinct definitions of it. The wording above is taught in Certified China AI Regulatory Professional (CCARP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A regulatory feature where a jurisdiction's requirements apply to conduct or content originating outside that jurisdiction's borders, based on the requirement's effect inside the jurisdiction; China's labeling and certain algorithm filing requirements, and the EU AI Act's general-purpose-AI-model scope provisions, both carry meaningful extraterritorial reach relevant to a foreign provider serving that market from abroad.
A law's application to organizations located outside the jurisdiction based on where the affected people, their data, or the system's output are. The ANPD's action against a United States company for processing Brazilians' data is a worked example.
the property of a legal instrument, such as the EU AI Act, that extends its obligations to organizations outside the issuing jurisdiction whenever their AI system's output is used by, or affects, people inside that jurisdiction.
The feature of laws like GDPR and the EU AI Act by which they apply based on where affected people or system outputs are, not where the company sits. It is why "we are domestic-only" is rarely a defense.
A legal doctrine under which a jurisdiction's law applies to conduct or data connected to that jurisdiction's residents, regardless of where the regulated organization itself is physically located or headquartered.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The cross-border decision: where your organization may ship its AI feature, defended with citations · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- The Big Four Frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD Principles · Foundations of AI for Lobbyists, The AI Lobbyist: Certified AI Policy Strategist
- Cross-Jurisdictional Compliance Architecture: FDA, SEC, DOT, GDPR, CCPA · Legal Frameworks and Liability Navigation, The AI Lobbyist: Certified AI Policy Strategist
- Regulatory Compliance Navigator · Governance and Responsible AI, Certified AI Transformation Professional (CATP)
- Transforming Across the Regulatory Map · Lab: Regional and Geopolitical AI, Certified AI Transformation Professional (CATP)
- The Core Triad: CSL, PIPL, DSL · China's AI Regulatory Architecture, Certified China AI Regulatory Professional (CCARP)
- Regulators and Jurisdictions · China's AI Regulatory Architecture, Certified China AI Regulatory Professional (CCARP)
- Regulatory Mapping Exercise · China's AI Regulatory Architecture, Certified China AI Regulatory Professional (CCARP)
- Overlapping Obligations · China, EU, US: The Comparative Playbook, Certified China AI Regulatory Professional (CCARP)
Where it shows up at work
A definition is where Extraterritorial reach starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Tracks executive orders, OMB guidance, agency rules and the state patchwork, and knows which state laws reach hiring, insurance and consumer decisions.
4 lessons on this page teach it as a primary outcome.
Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.
3 lessons on this page teach it as a primary outcome.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
3 lessons on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Compliance Analystneeds working knowledge · 2 open postings this week
- AI Policy Analystneeds it at depth · 7 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: OMB M-25-21 and M-25-22; Colorado SB 24-205; NYC Local Law 144; EU AI Act.
One interview question about it
A US company operates in several states. How do you track which state AI laws apply to which systems, and what changes when a new one passes?
Asked of candidates for us federal and state ai regulation. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Policy, legislative and government affairs staff carries it as a claim to back up: You follow federal and state developments already.
- A public policy, political science or international relations degree carries it as a claim to back up: US federal and state process is familiar; the AI statutes are new.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.