The increasing integration of artificial intelligence (AI) systems in various fields requires solid concepts to ensure compliance with upcoming legislation. This paper systematically examines the compliance of AI systems with relevant legislation, focusing on the EU's AI Act and the compliance of data sets. The analysis highlighted many challenges associated with edge devices, which are increasingly being used to deploy AI applications closer and closer to the data sources. Such devices often face unique issues due to their decentralized nature and limited computing resources for implementing sophisticated compliance mechanisms. By analyzing AI implementations, the paper identifies challenges and proposes the first best practices for legal compliance when developing, deploying, and running AI. The importance of data set compliance is highlighted as a cornerstone for ensuring the trustworthiness, transparency, and explainability of AI systems, which must be aligned with ethical standards set forth in regulatory frameworks such as the AI Act. The insights gained should contribute to the ongoing discourse on the responsible development and deployment of embedded AI systems.

翻译：人工智能（AI）系统在各领域的日益融合需要可靠的概念来确保其符合即将出台的法规。本文系统性地探讨了AI系统与相关立法的合规性，重点关注欧盟的《人工智能法案》以及数据集的合规性。分析突显了与边缘设备相关的诸多挑战，这些设备正被越来越多地用于将AI应用部署在越来越靠近数据源的位置。此类设备由于其去中心化的特性以及用于实施复杂合规机制的计算资源有限，常常面临独特的问题。通过分析AI的具体实施，本文识别了相关挑战，并首次提出了在开发、部署和运行AI时确保法律合规性的最佳实践。数据集合规的重要性被强调为确保AI系统可信性、透明性和可解释性的基石，这些特性必须与《人工智能法案》等监管框架中规定的伦理标准保持一致。所得见解应有助于推动关于嵌入式AI系统负责任开发与部署的持续讨论。