From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry· 从监管到实施：大模型辅助合规性评估
The European Union (EU) has emerged as a leading regulatory body in the development of sustainability and privacy regulations. While new regulation requirements vary, many include a documentation artifact to ensure compliance. Notably, the Ecodesign for Sustainable Products Regulation (ESPR) introduces Digital Product Passports (DPPs) for life cycle transparency, while the General Data Protection Regulation (GDPR) mandates Data Protection Impact Assessments (DPIAs) to mitigate privacy risks. Creating these compliance artifacts, however, is challenging. Industrial data, which often exists in heterogeneous formats and is scattered across company and supplier systems, is required for DPPs and can be difficult to extract into compliant DPP formatting. Furthermore, DPIA documents require interd
评估大模型在工业合规性文档创建中的应用。
- 核心方法
- 研究了大语言模型如何辅助提取、整合工业数据并生成所需的合规性文档，通过分析模型在不同场景下的表现来提出改进策略。
- 适合谁读
- 研究者、工程师、产品经理
- 要解决的问题
- 工业企业在创建符合新监管要求的文档时面临的挑战，特别是ESPR的DPP和GDPR的DPIA文档。
- 关键实验
- 未提供
- 主要贡献
- 提供了大语言模型在工业合规性文档创建中的应用场景分析与技术评估，指出了现有模型的局限性并提出了改进建议。
- 意义与局限
- 该研究有助于提升企业合规性文档的自动化水平，减少人工成本和错误，但模型的泛化能力和对复杂工业数据的处理仍然是挑战。