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 7 topics of every program are free with a free account.
- Special categories and the fields you did not know were sensitive · Consent, Purpose, and the Law of Data, AI Data Governance: The Data Chair
- The records of processing: the register a regulator reads first · Consent, Purpose, and the Law of Data, AI Data Governance: The Data Chair
- Fundamental Rights Impact Assessment (Article 27, FRIA) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.