EU AI Act Compliance

The EU AI Act distinguishes AI systems, general-purpose AI models and several operator roles, with obligations depending on the relevant category and context. A provider and a deployer can have different responsibilities, and the same underlying model can participate in applications with different intended purposes. Classification therefore requires examining the actual use and the organization's role, not assigning a legal category from a model name. Compliance work links that assessment to documentation, oversight, evaluation and other applicable requirements. The current text, amendments, guidance and application provisions must be checked for the specific case; this skill is not a substitute for qualified legal interpretation.

A practitioner inventories AI uses and records purpose, users, affected people, providers and deployment arrangements. With legal and governance specialists, they map applicable provisions to concrete controls and evidence owners. Artifacts include a classification rationale, documentation register and change-review process. Engineering evidence can describe data handling, testing, oversight mechanisms and monitoring, but it must correspond to the actual system configuration. Changes in purpose, operator responsibilities or technical capability trigger reassessment. The team also checks other relevant law rather than assuming the AI Act displaces privacy, employment or product requirements.

Neither a guardrail library, an ISO certificate nor a good benchmark proves AI Act compliance. Public summaries can omit exceptions, role-specific duties and amended provisions. The skill requires tracing a claim to the applicable legal requirement and to maintained system evidence. A generic risk label is particularly weak when intended use is unclear. Legal conclusions and timing should be confirmed against authoritative, current sources for the particular activity.