EDPB (European Data Protection Board)
The EU body that harmonizes interpretation of the GDPR across member states. Its Opinion 28/2024 addresses when AI models can be anonymous, whether legitimate interest can ground AI development, and what happens when a model is built on unlawfully processed data.
Defined in 2 GAGE programs, which carry 6 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.
The independent EU body composed of representatives from the national data protection authorities of EU member states, responsible for ensuring consistent application of the GDPR across the Union, including through formal opinions such as Opinion 28/2024, the source of the contaminated model doctrine discussed in this topic.
The EU body that harmonizes interpretation of the GDPR across member states. Its Opinion 28/2024 addresses when AI models can be anonymous, whether legitimate interest can ground AI development, and what happens when a model is built on unlawfully processed data.
The EU body responsible for consistent application of data protection law across member states, issuing opinions and guidelines, including Opinion 28/2024 on AI models addressed in this topic.
The EU body composed of representatives from each national data protection authority, responsible for ensuring consistent application of the GDPR across member states and resolving cross-border disputes through binding decisions.
The independent EU body that ensures consistent application of GDPR across member states, issues guidance (including on records of processing and, relevant to AI, its Opinion 28/2024 on AI models), and coordinates supervisory authorities like the CNIL.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Why the data person just became the most consequential role in the building · Taking the Data Chair, Certified AI Data Governance Professional (CADGP)
- Lawful basis, spelled out: consent, contract, legitimate interest, and which one actually covers each dataset · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- The records of processing: the register a regulator reads first · 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)
Where it shows up at work
A definition is where EDPB (European Data Protection Board) 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.
Keeps the living record: each risk with a named owner, rating, treatment, residual risk, monitoring metric, threshold and review date.
One lesson on this page teach it as a primary outcome.
Classifies information, applies least privilege, sets retention and acceptable-use rules, and controls what may enter a prompt, a log or an embedding.
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 Risk Officer, AI risk editionneeds it at depth
- AI Risk Managerneeds it at depth · 2 open postings this week
- Cybersecurity Risk Analystneeds working knowledge
- VP of AI Governance and Ethicsneeds working knowledge
- Model Risk Managerneeds working knowledge
- AI Governance Managerneeds 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: NIST AI RMF MANAGE; ISO/IEC 42001 Clause 6; EU AI Act Article 9; ISO/IEC 27001.
One interview question about it
How do you keep an AI risk register from becoming a list nobody reads? What makes a risk entry actionable?
Asked of candidates for ai risk register and treatment tracking. 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.
- Internal audit and IT audit carries it as a claim to back up: Remediation tracking is familiar from follow-up work.
- 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.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.