Skip to main content

Digital replica

A synthetic reproduction of a person's voice or likeness, generated by AI, able to produce new performance the person never actually recorded. The central subject of the SAG-AFTRA video game strike, whose agreement requires informed consent and disclosure for a replica's use and pays the performer for AI-generated material rather than treating one scan as an unlimited buyout.

Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).

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 Governance Professional (CAIGP)

A synthetic reproduction of a person's voice or likeness, generated by AI, able to produce new performance the person never actually recorded. The central subject of the SAG-AFTRA video game strike, whose agreement requires informed consent and disclosure for a replica's use and pays the performer for AI-generated material rather than treating one scan as an unlimited buyout.

Senior AI Scam Defense

An AI-generated reproduction of a real person's voice or likeness, realistic enough to be identifiable as that specific person, the term used in laws like California's AB 2602 to describe the kind of artifact this topic's protocol governs the creation and disposal of.

The AI Lobbyist: Certified AI Policy Strategist

An AI-generated or AI-manipulated depiction of a real person's voice, image, or likeness, closely resembling the person without their authorization; the subject of the Copyright Office's Part 1 report and the NO FAKES Act.

The AI Lobbyist: Certified AI Policy Strategist

An AI-generated reproduction of a real person's voice, image, or likeness, the specific object of the right the NO FAKES Act creates and the technology underlying the security and fraud script's proof point.

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 Digital replica 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.

Knows the rules on automated employment decisions, bias audits and notices, and treats hiring AI as the highest-risk use case it is.

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

Designs safeguards, family protocols and reporting paths for older adults, minors and people who cannot challenge an automated outcome.

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

Tracks the policy fight over AI infrastructure: data center siting, grid interconnection, energy and water duties, and who pays for the buildout.

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.

“ai in hiring”“employment decisions”“local law 144”“bias audit”“automated employment decision”“hr technology”

Where the frameworks place it: NYC Local Law 144; EEOC guidance; EU AI Act Annex III employment; Elder Justice Act.

One interview question about it

An AI tool screens job applicants. What must be true before you allow it, and what do you check every quarter?

Asked of candidates for ai in hiring and employment decisions. 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.