AMINA：面向边缘化移民非营利组织援助的包容且负责任的人工智能
AMINA: The Inclusive and Accountable AI for Marginalized Immigrant Nonprofit Assistance
- University of Toronto（多伦多大学）
- Cornell University（康奈尔大学）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
该研究针对伊朗移民非营利从业者开展三阶段混合方法研究，设计并评估了AI助手AMINA，其可减轻非营利组织报告负担、促进协作，为CSCW与HCI领域提供相关学术贡献。
中文摘要 AI 辅助
由移民主导的非营利组织，尤其是那些在政治敏感环境中运作的组织，面临着被正式登记处和数字平台排斥的问题。本文报告了一项针对伊朗移民非营利从业者的三阶段混合方法研究：27次半结构化访谈、一次共同设计会议，以及对原型AI助手AMINA的7次评估与反馈访谈。研究结果表明，合法性障碍、能力缺口以及带有政治色彩的错误信息制约着非营利组织的运作。我们将这些见解转化为面向包容型非营利AI助手的设计目标：支持日常团体运作、认可非正式非营利工作、主动应对错误信息，以及提供多语言、无障碍的交互。用户评估显示，AMINA具备减轻报告负担、通过主动提醒提升透明度，以及促进分散网络间协作的潜力。我们为CSCW和HCI领域做出了贡献，具体包括：刻画跨国移民非营利组织的协作工作、拓展关于非正式性与错误信息的学术研究，以及证明AI可作为协作伙伴，强化而非取代非营利生态系统核心的人际联系，同时也指出了其存在的重大风险。
英文摘要
Immigrant-led nonprofit groups, particularly those operating in politically sensitive contexts, face exclusion from formal registries and digital platforms. This paper reports a three-phase mixed-methods study with Iranian immigrant nonprofit practitioners: 27 semi-structured interviews, a co-design session, and 7 evaluation and feedback interviews on a prototyped AI assistant, AMINA. Our findings highlight how legitimacy barriers, capacity gaps, and politically charged misinformation constrain nonprofit operations. We translate these insights into design goals for an inclusive nonprofit AI assistant: support for everyday group operations, recognition of informal nonprofit efforts, proactive countering of misinformation, and multilingual, accessible interaction. User evaluations show AMINAs potential to reduce reporting burdens and foster transparency through proactive reminders, and catalyze collaboration across dispersed networks. We contribute to CSCW and HCI by characterizing the cooperative work of transnational immigrant nonprofits, extending scholarship on informality and misinformation, and demonstrating how AI can act as a collaborative partner that strengthens, rather than displaces, the human connections at the core of nonprofit ecosystems, while also posing major risks.
