Fundamental rights impact assessment (FRIA)
An assessment required by Article 27 of the EU AI Act (Regulation (EU) 2024/1689) before certain deployers put a high-risk Annex III AI system into use. It must describe the processes and intended use, the period and frequency of use, the categories of persons and groups affected, the specific fundamental-rights risks, the human-oversight measures, and the measures to be taken if risks materialize, including governance and complaint mechanisms.
Defined in 2 GAGE programs, which carry 5 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.
An assessment required by Article 27 of the EU AI Act (Regulation (EU) 2024/1689) before certain deployers put a high-risk Annex III AI system into use. It must describe the processes and intended use, the period and frequency of use, the categories of persons and groups affected, the specific fundamental-rights risks, the human-oversight measures, and the measures to be taken if risks materialize, including governance and complaint mechanisms.
The assessment required by Article 27 of Regulation (EU) 2024/1689, to be performed prior to deploying a qualifying high-risk AI system, examining the impact of the system's use on fundamental rights under the EU Charter, including non-discrimination, equal treatment, dignity, and access to remedies.
The assessment (Article 27) that certain deployers of high-risk systems must conduct before deployment, evaluating the system's impact on people's rights. Its full treatment, alongside the data protection impact assessment, is the owned scope of Topic 10.4. (see Topic 10.4)
A structured assessment of how an AI system may affect people's rights, run alongside a Data Protection Impact Assessment (DPIA) in the joint approach taught in Topic 10.4. It is named here because a conceded gap in rights testing, such as missing demographic accuracy testing, is often the amendment that a FRIA would have surfaced before deployment. (see Topic 10.4)
The Article 27 assessment some deployers of high-risk systems must perform (public bodies, private entities providing public services, and deployers of the Annex III creditworthiness and insurance-risk systems); the expert facilitates it but does not provide binding human-rights legal analysis.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The conformity file: assembling the evidence for the system you shipped in Module 3 · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- The DPIA and FRIA, run jointly: one assessment, two regimes, no duplicate work · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Defending the file: the live challenge and the amendments you concede · Adversarial Governance, Certified AI Governance Professional (CAIGP)
- Role Definition: What an EU AI Act Expert Does (and Doesn't) · The EU AI Act Expert Role, EU AI Act Implementation Expert
- AI Act and GDPR: FRIA vs DPIA · Regulatory Interplay and Liability, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Fundamental rights impact assessment (FRIA) 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.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
One lesson on this page teach it as a primary outcome.
Reads and applies content provenance infrastructure: C2PA content credentials, watermarking, machine readable AI labels, and the transparency duties that now require them.
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.
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Governance Analystneeds working knowledge · 6 open postings this week
- Privacy Analystneeds working knowledge
- Senior AI Compliance Analystneeds working knowledge
- AI Program Managerneeds it at depth · 11 open postings this week
- Third-Party AI Risk Analystneeds 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 MAP and MEASURE; ISO/IEC 42005; EU AI Act Article 27; EU AI Act Articles 11 and 12.
One interview question about it
Take me through an AI risk and impact assessment you would run for a hiring tool. What do you assess, and who signs?
Asked of candidates for ai risk and impact assessment. 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: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.