EU_AI_ACT_ART15_ACCURACY_ROBUSTNESS_001

rules/regulations/eu/eu_ai_act_article15_accuracy_robustness.yaml

Citation

Regulation (EU) 2024/1689, Article 15(1): High-risk AI systems shall be designed and developed in such a way that they achieve an appropriate level of accuracy, robustness, and cybersecurity, and that they perform consistently in those respects throughout their lifecycle. Article 15(3): The levels of accuracy and the relevant accuracy metrics of high-risk AI systems shall be declared in the accompanying instructions of use. Article 15(4), first subparagraph: High-risk AI systems shall be as resilient as possible regarding errors, faults or inconsistencies that may occur within the system or the environment in which the system operates, in particular due to their interaction with natural persons or other systems. Technical and organisational measures shall be taken in this regard. Article 15(5): High-risk AI systems shall be resilient against attempts by unauthorised third parties to alter their use, outputs or performance by exploiting system vulnerabilities. The technical solutions aiming to ensure the cybersecurity of high-risk AI systems shall be appropriate to the relevant circumstances and the risks. The technical solutions to address AI specific vulnerabilities shall include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training data set (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the AI model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws.

Condition

Requires high-risk AI systems to achieve appropriate levels of accuracy, robustness, and cybersecurity throughout their lifecycle, with resilience against errors, faults, adversarial manipulation, and model poisoning. Article 15.

Condition type

regex; semantic condition in the file, not run by the engine

Status in the file

review