Biometric data
Under GDPR Article 4(14), personal data resulting from specific technical processing relating to the physical, physiological, or behavioural characteristics of a natural person, which allow or confirm the unique identification of that person, such as facial images or fingerprint data. A photo alone is not biometric data; running recognition processing against it creates biometric data.
Defined in 2 GAGE programs, which carry 2 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.
Under GDPR Article 4(14), personal data resulting from specific technical processing relating to the physical, physiological, or behavioural characteristics of a natural person, which allow or confirm the unique identification of that person, such as facial images or fingerprint data. A photo alone is not biometric data; running recognition processing against it creates biometric data.
Personal data resulting from specific technical processing of a person's physical, physiological, or behavioral characteristics, such as facial geometry, that allows or confirms unique identification of that person. Treated as a special, more heavily regulated category of data under GDPR Article 9 and similar frameworks.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Special categories and the fields you did not know were sensitive · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- Privacy when a robot's sensors record real spaces · Responsible Physical AI in Practice, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Biometric data 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.
Builds minimization, purpose limitation, de-identification, consent and retention into an AI system before launch, with tests that prove it.
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.
Assures AI systems that can cause physical harm: hazard analysis, safety cases, runtime monitors, and the standards evidence a regulator or a court will ask for.
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 Privacy Officer, AI privacy editionneeds it at depth
- AI Privacy Engineerneeds it at depth · 6 open postings this week
- Privacy Analystneeds working knowledge
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Chief Data Officer, data leadership editionneeds working knowledge
- AI Incident Response Leadneeds working knowledge · 1 open posting 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: ISO/IEC 27701; GDPR Article 25; GDPR; CCPA/CPRA.
One interview question about it
How do you build privacy into an AI product from the design stage rather than checking it at the end?
Asked of candidates for privacy by design and privacy engineering. 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.
- Privacy and data protection carries it as work you can show: Privacy assessments and lawful-basis records are your work product.
- Legal and paralegal work carries it as a claim to back up: Privacy and consumer law are usually within reach.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: Privacy and data protection law are usually a course, not yet a file.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.