AR-001CritiqueFournisseurPréventif
Définition et engagement du niveau d'exactitude
L'article 15, paragraphe 1, exige que les systèmes d'IA à haut risque soient conçus et développés pour atteindre un niveau approprié d'exactitude, de robustesse et de cybersécurité, les fournisseurs définissant des niveaux d'exactitude cibles dans la documentation technique.
Articles:Article 15(1)Annex IV §3
Exemples de preuves
- Accuracy specification document
- Performance acceptance criteria
- Stakeholder-agreed accuracy thresholds
Normes
ISO 42001:2023 §8.4ISO/IEC 24029-1
Contrôles associés
- AR-002Accuracy Measurement and VerificationProviders must measure and verify the accuracy of the AI system against defined metrics using representative test sets, documenting the methodology,…
- AR-003Robustness Testing Against Input VariationsProviders must test the AI system's robustness against input variations that may arise in real-world deployment, including incomplete data, noisy inputs,…
- AR-004Adversarial Robustness TestingWhere relevant to the AI system's use case, providers must test robustness against adversarial inputs designed to cause misclassification, data poisoning…
- AR-005Cybersecurity Measures for AI SystemsArticle 15(5) requires that high-risk AI systems are resilient against unauthorised third-party attempts to alter their outputs, and providers must…
- AR-006Fallback Procedures for System FailuresProviders must design and implement fallback procedures that activate when the AI system cannot operate within its designed parameters, ensuring safe…
- AR-007Input Validation and Data Quality ChecksProviders must implement input validation mechanisms that verify the quality, format, and plausibility of data before it is processed by the AI system,…
Termes associés du règlement sur l’IA
- Technical DocumentationThe documentation that providers of high-risk AI systems must draw up before placing the system on the market, containing all necessary information to assess compliance with the Regulation, including a general description, design specifications, training data information, risk management records, and performance metrics. Content requirements are set out in Annex IV.
- AccuracyThe requirement that high-risk AI systems achieve an appropriate level of accuracy in relation to their intended purpose, as specified in the technical documentation. Providers must declare the level of accuracy in the instructions for use.
- RobustnessThe ability of a high-risk AI system to maintain its level of performance under adverse conditions — including technical limitations, adversarial inputs, errors, or unexpected situations — or within foreseeable operating conditions outside the intended purpose.
- CybersecurityThe requirement that high-risk AI systems are resilient against attempts by third parties to alter their use, behaviour, or performance in ways that could result in risks to health, safety, or fundamental rights, including protection against data poisoning, adversarial examples, and model evasion attacks.
Passez à la vitesse supérieure quand la conformité doit être
Le questionnaire gratuit fournit des signaux préliminaires. L'Évaluation Complète transforme les données réelles de vos systèmes en un dossier de décision gouverné : extraction, séparation des composants, preuves, surcouches nationales et dossier prêt à être audité.
Démarrer l'aperçu gratuit des risques