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ADMT (automated decision-making technology)

A term used in US state AI regulation, including Colorado's amended AI Act and California's CPPA regulations, for automated systems that make or materially inform consequential decisions about individuals; the specific disclosure and transparency obligations attached to it vary by jurisdiction and are actively evolving.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).

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.

Certified AI Data Governance Professional (CADGP)

A term used in US state AI regulation, including Colorado's amended AI Act and California's CPPA regulations, for automated systems that make or materially inform consequential decisions about individuals; the specific disclosure and transparency obligations attached to it vary by jurisdiction and are actively evolving.

The AI Lobbyist: Certified AI Policy Strategist

CPPA's regulatory category for AI and other computational processes used to substantially replace or substantially facilitate human decision-making, triggering specific notice and opt-out obligations in defined high-stakes contexts.

Certified AI Data Governance Professional (CADGP)

A term used in several current US state AI laws (including California's CPPA regulations and Colorado's amended AI Act) referring to technology that makes or is a substantial factor in making significant decisions about individuals, triggering disclosure and transparency obligations.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where ADMT (automated decision-making technology) 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.

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.

One lesson on this page teach it as a primary outcome.

Applies GDPR, CCPA and sector rules to training data, inference, automated decisions, lawful basis, individual rights and cross-border transfer.

One lesson 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.

One lesson 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.

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.

“map requirements”“framework alignment”“multiple frameworks”“unified control framework”“privacy law”“data protection”

Where the frameworks place it: EU AI Act; NIST AI RMF; ISO/IEC 42001; GDPR.

One interview question about it

Map one control to the EU AI Act, NIST AI RMF and ISO/IEC 42001 at once, and tell me where the mapping breaks.

Asked of candidates for framework crosswalking without false equivalence. 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.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.