针对AI在边缘设备的合规难题，提出首个系统性实践方案。
Compliance of AI Systems
- 聚焦欧盟AI法案，分析边缘设备部署中的合规难点。
- 强调数据集合规是保障AI可信、透明的核心前提。
- 适合关注AI监管落地与嵌入式系统开发的工程师和政策制定者。
人工智能系统在各领域的广泛应用亟需坚实的合规概念以应对未来立法要求。本文系统分析了AI系统与欧盟《人工智能法案》的合规性，重点关注数据集合规问题。研究发现，日益靠近数据源部署的边缘设备因去中心化特性及计算资源有限，难以实现复杂合规机制，面临诸多挑战。通过分析现有AI实施案例，本文首次提出在开发、部署和运行阶段确保法律合规的最佳实践。强调数据集合规是保障AI系统可信性、透明性和可解释性的基石，必须符合如《人工智能法案》等监管框架所设定的伦理标准。研究成果将助力嵌入式AI系统负责任发展的持续讨论。
原文摘要 · Abstract (English)
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.
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