What EU AI Act Article 73 - Reporting Obligations for Serious Incidents requires
EU AI Act Regulation 2024/1689 Article 73 requires providers of high-risk AI systems placed on the Union market to report serious incidents to the market surveillance authorities of the Member States where the incident occurred - a serious incident being any incident or malfunction of a high-risk AI system that directly or indirectly leads to the death of a person, serious damage to a person's health, serious damage to property or the environment, a serious and irreversible disruption of a critical service or infrastructure, or a violation of obligations under Union law protecting fundamental rights - with the incident report submitted without undue delay and in any event no later than 15 days after the provider becomes aware of the incident.
Pillar: AI Governance & Law · Authority: European Commission · Version: 1.0.2 · Last updated:
Primary source: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689
SHA-256 integrity: 48b01c6756d19d148ff843fb939a23e872243df631f520432bc565770bc23569
Primary Citations — 5 traced to source
- {"title":"Regulation (EU) 2024/1689 - Article 73: Reporting of Serious Incidents","url":"https://eur-lex.europa.eu","relevance":"Primary EU AI Act provision establishing the obligation on providers of high-risk AI systems to report serious incidents to market surveillance authorities within 15 days of becoming aware of the incident, defining serious incidents as those leading to death, serious health harm, serious property/environmental damage, critical infrastructure disruption, or fundamental rights violations"}
- {"title":"Regulation (EU) 2024/1689 - Article 72: Post-Market Monitoring by Providers","url":"https://eur-lex.europa.eu","relevance":"EU AI Act post-market monitoring provision that forms the foundation for the Article 73 serious incident detection and reporting system - the post-market monitoring plan must include procedures for identifying and reporting serious incidents as an integral component of the ongoing monitoring of high-risk AI system performance"}
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