Right of publicity
A legal protection, defined at the US state level rather than federally, giving an individual control over the commercial use of their name, image, voice, and likeness. Distinct from and additional to copyright; a dataset can clear a copyright acquisition-ladder check while still carrying right-of-publicity exposure if it includes an identifiable person's voice or likeness.
Defined in 5 GAGE programs, which carry 6 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.
A legal protection, defined at the US state level rather than federally, giving an individual control over the commercial use of their name, image, voice, and likeness. Distinct from and additional to copyright; a dataset can clear a copyright acquisition-ladder check while still carrying right-of-publicity exposure if it includes an identifiable person's voice or likeness.
The general legal category, existing in some form in most states, that protects a person's name, voice, and likeness from unauthorized commercial use by others; state laws addressing AI voice cloning and digital replicas, including Tennessee's ELVIS Act, are recent extensions of this older legal tradition to specifically cover AI-generated reproductions.
A person's legal right to control commercial use of their own likeness and voice. It exists independently of copyright and of AI-disclosure rules, so cloning a real person's face or voice requires their consent regardless of whether the output is labeled as AI.
A person's right, recognized in many jurisdictions, to control the commercial use of their name, image, and voice. AI-generated endorsements, cloned voices, and synthetic likenesses can infringe it independently of copyright.
The legal right to control commercial and unauthorized use of one's own identity, voice, or likeness, the legal foundation both the NO FAKES Act and various state-level digital-replica statutes build on.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Multimodal AI: Text, Image, Audio, Video · AI Fundamentals, Certified AI Practitioner: Workplace Foundations
- Copyright and the corpus: what your organization may train on, and the provenance file that proves it · Lineage Under Audit, Certified AI Data Governance Professional (CADGP)
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Same Issue, Five Value Propositions: Script Templates by Audience · Ethics as Sustainable Strategy, The AI Lobbyist: Certified AI Policy Strategist
- What a voice clone actually is, and how little it needs · The Demystification Lab, Senior AI Scam Defense
- Consent, deletion, and nothing leaves the room · The Demystification Lab, Senior AI Scam Defense
Where it shows up at work
A definition is where Right of publicity 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.
Recognizes AI-enabled fraud, from cloned voices and synthetic video to romance and investment scams, and knows the one move that breaks the script.
One lesson on this page teach it as a primary outcome.
Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
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.
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.
- Chief Data Officer, data leadership editionneeds it at depth
- AI Privacy Engineerneeds it at depth · 6 open postings this week
- Data Governance Leadneeds it at depth · 2 open postings this week
- Privacy Analystneeds working knowledge
- AI Auditorneeds working knowledge · 9 open postings this week
- Third-Party AI Risk Analystneeds working knowledge
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: FTC guidance; FinCEN elder financial exploitation advisory; EU AI Act Article 10; NIST AI RMF MAP 4.
One interview question about it
A caller sounds exactly like a colleague and asks for a transfer. How do you tell a voice clone from a person, and what is the rule?
Asked of candidates for deepfake, voice-clone and scam recognition. 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.
- Elder services, social work, banking front line and fraud teams carries it as a claim to back up: Fraud patterns are familiar; the synthetic versions are new.
- Privacy and data protection carries it as work you can show: Data maps and records of processing are lineage by another name.
- Data analysis, stewardship and business intelligence carries it as work you can show: Source-to-report lineage is what you trace.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.