Most users agree to online privacy policies without reading or understanding them, even though these documents govern how personal data is collected, shared, and monetized. Privacy policies are typically long, legally complex, and difficult for non-experts to interpret. This paper presents the Smart Privacy Policy Assistant, an LLM-powered system that automatically ingests privacy policies, extracts and categorizes key clauses, assigns human-interpretable risk levels, and generates clear, concise explanations. The system is designed for real-time use through browser extensions or mobile interfaces, surfacing contextual warnings before users disclose sensitive information or grant risky permissions. We describe the end-to-end pipeline, including policy ingestion, clause categorization, risk scoring, and explanation generation, and propose an evaluation framework based on clause-level accuracy, policy-level risk agreement, and user comprehension.

翻译：大多数用户在未阅读或理解的情况下即同意在线隐私政策，尽管这些文件规定了个人数据如何被收集、共享和货币化。隐私政策通常篇幅冗长、法律表述复杂，非专业人士难以解读。本文提出智能隐私政策助手，这是一个基于LLM的系统，能够自动解析隐私政策，提取并分类关键条款，分配人类可理解的风险等级，并生成清晰简洁的解释说明。该系统设计用于通过浏览器扩展或移动界面进行实时应用，在用户披露敏感信息或授予高风险权限前提供情境化警示。我们描述了端到端的处理流程，包括政策解析、条款分类、风险评分和解释生成，并提出基于条款级准确度、政策级风险一致性及用户理解度的评估框架。