Summary:
Le 26 septembre 2025, la Commission européenne a publié un projet de directive et un modèle de rapport pour les incidents graves liés à l’IA dans le cadre de la loi sur l’IA de l’UE. Cette initiative vise à améliorer la détection des risques précoces, à promouvoir la responsabilité et à favoriser la confiance du public dans les systèmes d’IA à haut risque. Les éléments clés incluent des définitions détaillées, des exemples pratiques et une conformité avec des cadres internationaux tels que le Moniteur des incidents d’IA de l’OCDE, avec des règles applicables à partir d’août 2026. D’autres retours sont sollicités de la part des parties prenantes d’ici le 7 novembre 2025 dans le cadre d’un processus de consultation publique.
Original Link:
Generated Article:
The European Commission has recently issued draft guidance and a reporting template for serious AI incidents as part of its preparations to implement the EU AI Act, a landmark regulatory framework for artificial intelligence within the European Union. Stakeholders are invited to participate in a public consultation process that opened on September 26, 2025, and will conclude on November 7, 2025. This represents a significant step to ensure transparency, accountability, and trust in high-risk AI systems.
Article 73 of the EU AI Act introduces a mandatory obligation for providers of high-risk AI systems to report serious incidents, such as those causing significant harm to individuals or society, to the relevant national authorities. The key aim of this provision is to enable early detection of risks, increase provider accountability, and facilitate timely corrective measures. These reporting obligations will officially be enforced starting in August 2026, though the draft guidance and reporting template made available now are intended to help stakeholders prepare.
The draft guidance clarifies essential definitions and aligns them with the broader EU legal context, such as the General Data Protection Regulation (GDPR) and the EU’s Machinery Directive. For example, harm to an individual’s fundamental rights, as noted in Article 73, must be considered in conjunction with GDPR to address potential risks such as privacy breaches arising from AI deployment. The guidance also offers real-world examples to illustrate compliance steps, such as how to balance risk reporting under multiple overlapping legal regimes. For instance, an incident involving a malfunctioning AI medical diagnostic system would not only need to be reported under the AI Act but may also fall under medical device regulations.
Ethically, this reporting framework underscores the principle of non-maleficence, obligating AI providers to prioritize preventing harm. Ensuring ethical accountability plays a crucial role in mitigating risks and rebuilding public trust in AI technologies. Transparency measures, such as requiring detailed incident reports, help demystify complex AI systems and their impacts on individuals and communities. This alignment with ethical AI principles is further strengthened by the EU’s consideration of international standards, including the OECD AI Incidents Monitor, which encourages cross-border harmonization and information sharing.
For the AI industry, these developments signal a more structured compliance landscape. Tech companies providing high-risk AI systems—such as those for recruitment, biometric identification, or critical infrastructure management—will need to allocate resources for monitoring, documenting, and reporting potential incidents. For instance, a company developing facial recognition software for public spaces would need robust incident-monitoring mechanisms to adhere to these requirements. These obligations could initially add compliance costs but also offer an opportunity to differentiate trustworthy, compliant products in a competitive market. Furthermore, misalignment with these regulations could lead to hefty fines under the AI Act’s enforcement mechanisms, emphasizing the importance of preparation.
Finally, the public consultation invites affected stakeholders—including industry leaders, civil society organizations, and researchers—to submit feedback and share examples of interactions with other reporting frameworks. This collaborative process offers an opportunity to refine and enhance the proposed guidance further.
As the European Union positions itself as a global leader in AI governance, these reporting mechanisms demonstrate its commitment to balancing innovation with public safety. Stakeholders are encouraged to engage actively in the consultation to shape the future of AI accountability in Europe.