arXiv:2503.12225cs.CLcs.CY2025-03
用大模型解读隐私政策易出错，需警惕理解偏差。
Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents
- 用大模型简化隐私政策文本，揭示理解偏差。
- 存在准确性、完整性、清晰度等多方面问题。
- 适合关注隐私保护与AI辅助合规的研究者。
本文探讨了利用大语言模型（LLM）从复杂隐私政策中提取数据实践简化解释时可能出现的差距。通过具体案例，展示了在准确性、完整性、清晰度和代表性方面的缺陷，强调需持续研究以实现大模型在个人助手和自动化合规检查中变革隐私管理的潜力。
原文摘要 · Abstract (English)
This article explores the gaps that can manifest when using a large language model (LLM) to obtain simplified interpretations of data practices from a complex privacy policy. We exemplify these gaps to showcase issues in accuracy, completeness, clarity and representation, while advocating for continued research to realize an LLM's true potential in revolutionizing privacy management through personal assistants and automated compliance checking.
隐私保护大模型可解释性
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