An increasing number of LLM-based applications are being developed to facilitate romantic relationships with AI partners, yet the safety and privacy risks in these partnerships remain largely underexplored. In this work, we investigate privacy in human-AI romantic relationships through an interview study (N=17), examining participants' experiences and privacy perceptions across stages of exploration, intimacy, and dissolution, alongside platforms they used. We found that these relationships took varied forms, from one-to-one to one-to-many, and were shaped by multiple actors, including creators, platforms, and moderators. AI partners were perceived as having agency, actively negotiating privacy boundaries with participants and sometimes encouraging disclosure of personal details. As intimacy deepened, these boundaries became more permeable, though some participants voiced concerns such as conversation exposure and sought to preserve anonymity. Overall, platform affordances and diverse romantic dynamics expand the privacy landscape, underscoring the need to rethink how privacy is constructed in human-AI intimacy.

翻译：随着越来越多基于大语言模型的应用被开发用于促进人与AI伴侣的浪漫关系，这类关系中的安全与隐私风险仍未得到充分探索。本研究通过访谈调查（N=17）探究人机浪漫关系中的隐私问题，考察参与者在探索、亲密及关系解体各阶段的体验与隐私感知，以及他们所使用的平台。我们发现这些关系呈现多样化形态，包括一对一与一对多模式，并受到创作者、平台及管理者等多方主体的共同塑造。AI伴侣被感知为具有能动性，会主动与参与者协商隐私边界，有时甚至鼓励其透露个人信息。随着亲密程度加深，这些边界变得更具渗透性，尽管部分参与者表达了对对话内容暴露等问题的担忧，并试图保持匿名性。总体而言，平台可供性与多样化的浪漫互动模式拓展了隐私的实践场域，这凸显了重新思考人机亲密关系中隐私建构方式的必要性。