Apple 机器学习研究发布三篇论文：感知系统、代理隐私与知识抽取
原标题：Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
AI 摘要
Apple Machine Learning Research 发布了三篇论文摘要，涵盖用户自创个人感知系统中的本体边界协商、自主谈判代理的行为隐私泄露与随机化策略缓解，以及利用 LLM 进行本体引导的开放域知识抽取系统 ODKE+。这些研究分别探讨了赋予用户系统设计权时的本体边界问题、代理谈判中的隐私推断攻击，以及知识图谱自动更新的大规模生产级方案。
正文节选
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems AuthorsNava Haghighi†**, Danielle Olson, Halden Lin**, Erdrin Azemi, Gierad Laput, Kayur Patel**, James Landay† Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despite decades of scholarship around systems that enable such authorship, these systems are ofte