Data subject
The individual to whom personal data relates, the terminology used across GDPR and most global privacy frameworks. A deletion decision ultimately exists to serve, and be defensible to, the interests of the data subjects whose information is in scope, even though the decision itself is made by the organization.
Defined in 2 GAGE programs, which carry 5 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.
The individual whose personal data is being processed, the party who holds rights (including the right to erasure under GDPR Article 17 and comparable rights under other frameworks) with respect to that data. In this topic's Section 5 scenario, Diane is the data subject exercising her erasure right against Glenrock Credit Union.
The identified or identifiable living person that a piece of personal data describes. Consent archaeology is ultimately about what was promised to the data subjects, whose reasonable expectations the analysis must protect.
The individual to whom personal data relates, the terminology used across GDPR and most global privacy frameworks. A deletion decision ultimately exists to serve, and be defensible to, the interests of the data subjects whose information is in scope, even though the decision itself is made by the organization.
The GDPR term for the identified or identifiable natural person whose personal data is being processed. In this topic's context, the person whose photo, text, or other personal data a model may have memorized, whether or not that person is aware their data fed the training set.
The identified or identifiable individual to whom personal data relates, and the person who can exercise rights such as erasure and restriction over it.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Retention versus the model that memorized: deleting data a model already learned from · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- The deletion decision: the terabytes your organization should destroy this quarter, defended · The Money of Data, Certified AI Data Governance Professional (CADGP)
- The deletion that was not: personal data found in a model trained last year · Data Incidents, Certified AI Data Governance Professional (CADGP)
- Consent archaeology: what this data was collected for versus what you want to do · Data Reality, Certified AI Governance Professional (CAIGP)
- The retention decision: what you must keep, what you must destroy, and proving both · Data Reality, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Data subject 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.
Classifies information, applies least privilege, sets retention and acceptable-use rules, and controls what may enter a prompt, a log or an embedding.
2 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.
- AI Privacy Engineerneeds it at depth · 6 open postings this week
- Data Governance Leadneeds it at depth · 2 open postings this week
- Chief Data Officer, data leadership editionneeds working knowledge
- Chief Information Officer, technology leadership editionneeds working knowledge
- Chief Privacy Officer, AI privacy editionneeds working knowledge
- AI Security Architectneeds working knowledge · 8 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: ISO/IEC 27001; GDPR Article 5.
One interview question about it
How do you decide who may access which data for AI work, and how long it is kept?
Asked of candidates for data classification, access and retention. 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 a claim to back up: Classification and retention rules are familiar territory.
- Cybersecurity and IT carries it as work you can show: Access governance and classification are implemented, not described.
- Human resources and people operations carries it as a claim to back up: Access restriction and retention for personnel data are routine.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.