Art. 73 EU AI Act: incident reporting to supervisory authorities
Art. 73 requires deployers and providers to report serious incidents involving high-risk AI to the competent market-surveillance authority without undue delay, within roughly 15 days for most incidents. An incident that is also a personal-data breach must additionally be reported under GDPR Art. 33.
Updated: June 2026
Introduction: the incident reporting framework
Art. 73 of the EU AI Act creates an incident reporting obligation for deployers of high-risk AI systems: "Deployers of high-risk AI systems shall report any serious incidentserious incidentAn AI incident causing (or nearly causing) death, serious harm to health, property, fundamental rights or infrastructure — triggering regulatory reporting duties for high-risk systems.Open full entry → to the relevant market surveillance authority." This connects the EU AI Act's incident regime to the existing regulatory framework for product safety reporting, adapting it to the AI context.
What is a "serious incident"?
Art. 3.49 defines a serious incident as any incident or malfunction of a high-risk AI systemAI systemA machine-based system that, for explicit or implicit objectives, infers from input how to generate outputs — predictions, content, recommendations or decisions — that can influence physical or virtual environments. The OECD-style definition followed by the EU AI Act.Open full entry → that directly or indirectly leads, or might reasonably be expected to lead, to:
- The death of a person or serious damage to their health
- A serious and irreversible disruption of the management and operation of critical infrastructure
- The infringement of obligations under Union law intended to protect fundamental rights
- Serious damage to property or the environment
The phrase "might reasonably be expected to lead" is significant, this is a prospective standard. Deployers must report not only incidents where harm has occurred, but also near-misses where serious harm was a reasonably foreseeable consequence of the AI system's behaviour.
Reporting timelines
Unlike GDPR breach reporting (72-hour rule), the EU AI Act does not specify a single reporting deadline. Instead, reporting should occur "without undue delay", interpreted in guidance as meaning within 15 business days of becoming aware of the serious incident for most cases. For incidents involving immediate risk to life, authorities expect notification within 24–48 hours.
The reporting process
Step 1: incident detection
Incidents may be detected through: post-market monitoringpost-market monitoringProvider-side duty to systematically collect and act on experience from systems in use — the product-regulation half of continuous monitoring.Open full entry → systems (Art. 26.5), user complaints, staff reports, or external notifications from affected individuals. Your incident detection capability is only as good as your monitoring programme.
Step 2: preliminary assessment
Assess whether the incident meets the "serious incident" threshold under Art. 3.49. Document this assessment with the reasoning. Conservative classification is advisable, if in doubt, report.
Step 3: notification to provider
Before or simultaneously with regulatory reporting, notify the AI system providerproviderThe actor who develops an AI system (or has it developed) and places it on the market or into service under its own name — carrying manufacturer-style duties: design controls, documentation, conformity.Open full entry →. The provider has obligations under Art. 73.4 to cooperate in the investigation and may need to take corrective action. Document your notification.
Step 4: regulatory reporting
In the Netherlands, the designated market surveillance authority for the EU AI Act is the Autoriteit Persoonsgegevens (AP). Report using the authority's designated incident reporting channel. Required content: incident description, system identification, population affected, immediate measures taken, and provider notification status.
Step 5: post-incident review
Conduct a structured post-incident reviewpost-incident reviewThe structured learning step after containment: root cause, corrective actions with owners, and updates flowing back into assessments, registers, training and contracts.Open full entry → to identify root cause and implement preventive measures. Document the review and update your risk assessment.
Compliance checklist
- Does your incident management policy explicitly cover AI incidents under Art. 73?
- Is there a documented procedure for assessing whether an AI incidentAI incidentAny event where an AI system's outputs, actions or data handling caused or plausibly could cause harm, or materially deviated from validated behaviour — including harmful outputs from a system that is technically working.Open full entry → meets the "serious incident" threshold?
- Is the AP's incident reporting channel known to your AI governance team?
- Is there a notification procedure for informing AI providers of incidents?
- Are AI incidents logged, reviewed, and actioned post-incident?
- Is incident reporting responsibility assigned to a named person or function?