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Recitals
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Chapter I: General Provisions
Chapter II: Prohibited AI Practices
Chapter III: High-Risk AI Systems

Section 1: Classification of AI Systems as High-Risk

Section 2: Requirements for High-Risk AI Systems

Section 3: Obligations of Providers and Deployers of High-Risk AI Systems and Other Parties

Section 4: Notifying Authorities and Notified Bodies

Section 5: Standards, Conformity Assessment, Certificates, Registration

Chapter IV: Transparency Obligations for Providers and Deployers of Certain AI Systems
Chapter V: General-Purpose AI Models

Section 1: Classification Rules

Section 2: Obligations for Providers of General-Purpose AI Models

Section 3: Obligations of Providers of General-Purpose AI Models with Systemic Risk

Section 4: Codes of Practice

Chapter VI: Measures in Support of Innovation
Chapter VII: Governance

Section 1: Governance at Union Level

Section 2: National competent authorities

Chapter VIII: EU Database for High-Risk AI Systems
Chapter IX: Post-Market Monitoring, Information Sharing and Market Surveillance

Section 1: Post-Market Monitoring

Section 2: Sharing of Information on Serious Incidents

Section 3: Enforcement

Section 4: Remedies

Section 5: Supervision, Investigation, Enforcement and Monitoring in Respect of Providers of General-Purpose AI Models

Chapter X: Codes of Conduct and Guidelines
Chapter XI: Delegation of Power and Committee Procedure
Chapter XII: Penalties
Chapter XIII: Final Provisions
Annexes
Annex I
Annex II
Annex III
Annex IV
Annex V
Annex VI
Annex VII
Annex VIII
Annex IX
Annex X
Annex XI
Annex XII
Annex XIII

Recital 73

High-risk AI systems should be designed and developed in such a way that natural persons can oversee their functioning, ensure that they are used as intended and that their impacts are addressed over the system’s lifecycle. To that end, appropriate human oversight measures should be identified by the provider of the system before its placing on the market or putting into service. In particular, where appropriate, such measures should guarantee that the system is subject to in-built operational constraints that cannot be overridden by the system itself and is responsive to the human operator, and that the natural persons to whom human oversight has been assigned have the necessary competence, training and authority to carry out that role. It is also essential, as appropriate, to ensure that high-risk AI systems include mechanisms to guide and inform a natural person to whom human oversight has been assigned to make informed decisions if, when and how to intervene in order to avoid negative consequences or risks or stop the system if it does not perform as intended. Considering the significant consequences for persons in the case of an incorrect match by certain biometric identification systems, it is appropriate to provide for an enhanced human oversight requirement for those systems so that no action or decision may be taken by the deployer on the basis of the identification resulting from the system unless this has been separately verified and confirmed by at least two natural persons. Those persons could be from one or more entities and include the person operating or using the system. This requirement should not pose unnecessary burden or delays, and it could be sufficient that the separate verifications by the different persons are automatically recorded in the logs generated by the system. Given the specificities of the areas of law enforcement, migration, border control and asylum, this requirement should not apply where Union or national law considers the application of that requirement to be disproportionate.

This Recital relates to