WhatsApp is one of the most widely used messaging platforms globally, with billions of users sharing information in private groups. Yet, it offers little infrastructure to support moderation and group governance. In the absence of platform-level oversight, group admins bear the responsibility of governing group behavior. In this paper, we explore how WhatsApp group admins collaborate with AI tools to create, enforce, and maintain group rules. Drawing on a two-phase speculative design study with 20 admins in India, we examine how participants interacted with an AI assistant (Meta AI) to co-create rules and responded to a series of probes illustrating AI-assisted moderation features. Our findings show that while admins appreciated the AI's ability to surface overlooked rules and reduce their moderation burden, they were highly sensitive to issues of relational trust, data privacy, tone, and social context. We identify how group type and admin style shaped their willingness to delegate authority, and surface the limitations of current chatbot interfaces in supporting collaborative rule-making. We conclude with design implications for building moderation tools that center human judgment, relational nuance, contextual adaptability, and collective governance.

翻译：WhatsApp是全球最广泛使用的即时通讯平台之一，数十亿用户在私人群组中共享信息。然而，该平台几乎未提供支持群组治理与管理的底层架构。在缺乏平台层面监管的情况下，群组管理员需承担管理群组行为的责任。本文探讨了WhatsApp群组管理员如何与AI工具协作，以创建、执行和维护群组规则。基于对印度20名管理员开展的两阶段推测性设计研究，我们考察了参与者如何与AI助手（Meta AI）互动共创规则，并针对系列展示AI辅助治理功能的探针做出回应。研究结果表明：尽管管理员认可AI在发现被忽视的规则及减轻治理负担方面的能力，但他们高度关注关系信任、数据隐私、语气及社会语境等问题。我们揭示了群组类型与管理员风格如何影响其授权意愿，并指出现有聊天机器人界面在支持协作式规则制定方面存在的局限性。最后，我们提出以人类判断、关系细微性、情境适应性和集体治理为核心构建治理工具的设计启示。