The EU AI Act sorts AI systems into four levels: unacceptable risk (prohibited), high risk, limited risk with transparency duties, and minimal risk. A system is high risk if it is a safety component covered by EU product legislation or falls under a use case listed in Annex III.
The Act creates four tiers. Practices that pose an unacceptable risk, such as certain social scoring and manipulative systems, are prohibited. High-risk systems face the full set of requirements. Limited-risk systems, such as chatbots and synthetic content generators, mainly carry transparency duties. Most other systems fall in the minimal-risk tier with no specific obligations.
Annex III lists the high-risk use cases. They include biometric identification, management of critical infrastructure, education and vocational training, employment and worker management, access to essential private and public services such as credit scoring and life and health insurance pricing, law enforcement, migration, and the administration of justice.
Article 6 also allows a provider to conclude that an Annex III system does not pose a significant risk. That conclusion has to be documented before the system is placed on the market, and the system must still be registered. Classification should be recorded per system with the reasoning attached, since an auditor will ask how the decision was reached.
Day 2 of the course walks through risk classification and maps the obligations that follow from each class, using the regulation text as the reference point for every decision.
Write the classification rationale into the file for every system, including the ones concluded to be minimal risk. Auditors tend to ask for the reasoning behind a classification as often as the label itself.
“A risk label without its reasoning will not survive an audit.”
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View courseThe EU AI Act applies to AI systems placed on the EU market, put into service there, or whose outputs are used in the EU, wherever the company is based. Applicability is decided per system and per use case.
Providers of high-risk AI systems must prepare technical documentation before the system is placed on the market, following the content set out in Annex IV, and keep it up to date. The documentation shows how the system meets the requirements for high-risk AI.
The course suits compliance and AI governance leads, legal counsel and data protection officers, technical AI teams, and consultants or executives who must show defensible AI governance. Each role works through a different part of the AI Act.
A fundamental rights impact assessment (FRIA) is a documented evaluation of how a high-risk AI system could affect people's fundamental rights before it is deployed. Under Article 27, it applies to certain deployers, including public bodies and private entities providing public services.
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