Conformity assessment
The process by which a high-risk AI system is shown to meet EU AI Act requirements (risk management, data governance, documentation, human oversight, accuracy); harmonized standards such as ISO 42001 can support it but do not guarantee it. For most Annex III high-risk systems, providers may self-assess (internal conformity assessment, Annex VI procedures); for systems involving remote biometric identification, a notified-body third-party assessment is mandatory (Regulation (EU) 2024/1689, Article 43).
Defined in 3 GAGE programs, which carry 8 distinct definitions of it. The wording above is taught in AI Literacy & Professional Conduct.
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 process by which a high-risk AI system is shown to meet EU AI Act requirements (risk management, data governance, documentation, human oversight, accuracy); harmonized standards such as ISO 42001 can support it but do not guarantee it. For most Annex III high-risk systems, providers may self-assess (internal conformity assessment, Annex VI procedures); for systems involving remote biometric identification, a notified-body third-party assessment is mandatory (Regulation (EU) 2024/1689, Article 43).
The process by which a provider demonstrates that a high-risk AI system meets the applicable requirements of the EU AI Act, as specified in Article 43 and Annexes VI and VII. Depending on the system category, this may be a provider's internal assessment or may require involvement of a notified body. The result is documented in the EU declaration of conformity under Article 47.
The procedure (Article 43) by which a high-risk system is checked against the Act's requirements before market. It runs by internal self-assessment (Annex VI) for most Annex III systems, or by an independent notified body (Annex VII) for biometric systems where harmonized standards are not applied.
The process of demonstrating that a high-risk AI system meets the requirements of Chapter III, Section 2 (Article 3(20)); the expert prepares for and coordinates it but does not conduct it, since that is the notified body's or the provider's self-assessment role depending on the route.
The process for demonstrating whether the requirements of the EU AI Act applicable to a high-risk AI system have been fulfilled. Routes are specified in Article 43, ranging from internal assessment for Annex III standalone systems to third-party assessment by a notified body for certain high-risk systems.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Regulatory Landscapes: AI Laws and Governance Frameworks · Ethical and Responsible AI and Operational Governance, AI Literacy & Professional Conduct
- The conformity file: assembling the evidence for the system you shipped in Module 3 · The EU AI Act: The Executive Map, AI Governance: Applied Mastery
- Role Definition: What an EU AI Act Expert Does (and Doesn't) · The EU AI Act Expert Role, EU AI Act Implementation Expert
- Third-Party AI Vendor Compliance Assessment · AI System Inventory and Classification, EU AI Act Implementation Expert
- Conformity Assessment Routes (Articles 43 to 47) · Standards and Conformity Assessment, EU AI Act Implementation Expert
- Contractual Risk Allocation with AI Vendors · Regulatory Interplay and Liability, EU AI Act Implementation Expert
- Audit Preparation: Facing the Notified Body · Capstone: The Compliance Portfolio, EU AI Act Implementation Expert
- Final Certification: Integrated Mastery Assessment · Capstone: The Compliance Portfolio, 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.