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：人工智能系统在各领域的日益融合，需要坚实的概念来确保其符合即将出台的法规要求。本文系统性地审视了AI系统与相关法规的合规性，重点关注欧盟《AI法案》及数据集的合规问题。分析凸显了边缘设备带来的诸多挑战——这类设备正越来越多地被用于将AI应用部署在更接近数据源的位置。由于边缘设备具有去中心化特性，且计算资源有限难以实施复杂的合规机制，其往往面临独特问题。通过分析AI实现案例，本文识别出挑战，并首次提出了在开发、部署和运行AI过程中实现法律合规的最佳实践。研究强调，数据集合规性作为基石，对于确保AI系统的可信度、透明度和可解释性至关重要，这些特性必须与《AI法案》等监管框架中设定的伦理标准保持一致。所得见解将为嵌入式AI系统负责任开发与部署的持续讨论作出贡献。