DPIA (Data Protection Impact Assessment)
An assessment required by GDPR Article 35 (or Directive (EU) 2016/680 Article 27 for law enforcement) when processing personal data is likely to result in high risk to the rights and freedoms of natural persons. Covers data-protection-specific risks; does not substitute for the FRIA under the EU AI Act.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
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 GDPR-required assessment (Article 35) for processing likely to result in a high risk to individuals' rights and freedoms. Referenced in this topic because the Digital Omnibus proposal would tie the Article 30(5) exemption threshold to the DPIA high-risk standard rather than the current occasional-processing test.
An assessment required by GDPR Article 35 (or Directive (EU) 2016/680 Article 27 for law enforcement) when processing personal data is likely to result in high risk to the rights and freedoms of natural persons. Covers data-protection-specific risks; does not substitute for the FRIA under the EU AI Act.
A formal, documented risk assessment required under GDPR Article 35 before certain high-risk processing begins, including, under Article 35(3)(b), any large-scale processing of special category data under Article 9.
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)
- The records of processing: the register a regulator reads first · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- Fundamental Rights Impact Assessment (Article 27, FRIA) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
Where it shows up at work
A definition is where DPIA (Data Protection Impact Assessment) 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.
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.
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.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.