The current "notice and consent" paradigm is broken: consent dialogues are often manipulative, and users cannot realistically read or understand every privacy policy. While recent LLM-based tools empower users seeking active control, many with limited time or motivation prefer full automation. However, fully autonomous solutions risk hallucinations and opaque decisions, undermining trust. I propose a middle ground - a Privacy Guardian Agent that automates routine consent choices using user profiles and contextual awareness while recognizing uncertainty. It escalates unclear or high-risk cases to the user, maintaining a human-in-the-loop only when necessary. To ensure agency and transparency, the agent's reasoning on its autonomous decisions is reviewable, allowing for user recourse. For problematic cases, even with minimal consent, it alerts the user and suggests switching to an alternative site. This approach aims to reduce consent fatigue while preserving trust and meaningful user autonomy.

翻译：当前的“通知与同意”模式已经失效：同意对话往往具有操纵性，用户无法切实阅读或理解每一条隐私政策。虽然基于大语言模型的最新工具赋予用户寻求主动控制的能力，但许多时间有限或缺乏动力的用户更倾向于完全自动化。然而，完全自主的解决方案可能产生幻觉和黑箱决策，从而削弱信任。我提出一种折中方案——隐私守护代理，它能利用用户画像和上下文感知自动处理常规同意选择，同时识别不确定性。该代理会将不明确或高风险的情况上报给用户，仅在必要时保持人在回路。为确保自主性和透明度，代理对其自主决策的推理过程是可审查的，允许用户进行补救。对于问题案例，即使同意极少，它也会提醒用户并建议切换到替代网站。这种方法旨在减少同意疲劳，同时维护信任和有意义的用户自主性。