arXiv:2509.05380cs.CYcs.AI2025-09

欧盟新AI法案下,机器人系统合规存在透明度与监管短板

Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura

  • 基于PRISMA流程筛选22篇文献,系统评估合规现状
  • 仅40%方案满足透明度要求,30%实现故障干预机制
  • 建议融合风险管控、实时监督与持续审计的模块化设计

本系统性文献综述分析了欧盟法规(EU)2024/1689在自主机器人系统中的合规现状,重点关注网络安全框架与方法。通过PRISMA协议,从IEEE Xplore、ACM DL、Scopus和Web of Science中筛选出22篇符合标准的研究。结果表明,尽管在风险管理和加密通信方面取得进展,但在可解释性模块、实时人工监督和知识库可追溯性方面仍存在显著差距。仅有40%的解决方案明确满足透明性要求,30%实现了故障干预机制。研究结论指出,整合风险管控、监督与持续审计的模块化方法,是满足自主机器人领域《人工智能法案》要求的关键。

原文摘要 · Abstract (English)

This systematic literature review analyzes the current state of compliance with Regulation (EU) 2024/1689 in autonomous robotic systems, focusing on cybersecurity frameworks and methodologies. Using the PRISMA protocol, 22 studies were selected from 243 initial records across IEEE Xplore, ACM DL, Scopus, and Web of Science. Findings reveal partial regulatory alignment: while progress has been made in risk management and encrypted communications, significant gaps persist in explainability modules, real-time human oversight, and knowledge base traceability. Only 40% of reviewed solutions explicitly address transparency requirements, and 30% implement failure intervention mechanisms. The study concludes that modular approaches integrating risk, supervision, and continuous auditing are essential to meet the AI Act mandates in autonomous robotics.

AI法案机器人合规可解释性

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