面向建设性公民沟通的设计：社区参与流程中的人机协作框架
Designing for Constructive Civic Communication: A Framework for Human-AI Collaboration in Community Engagement Processes
AI总结：
针对社区参与流程面临的资源受限、包容性不足及AI应用的民主风险，本文提出人机协作设计框架，在保障决策控制权与能动性的前提下，借助AI推动民主治理中更具建设性的公民沟通。
摘要：
社区参与流程是民主治理的关键基础，但常面临资源受限、意义构建困难以及包容性参与存在障碍等问题。这类流程依赖公共领导者与社区组织之间的建设性沟通，其特征为理解、信任、尊重、合法性与能动性。随着人工智能（AI）技术日益融入公民场景，它们展现出可观的能力：可简化耗费资源的工作流、从社区反馈中挖掘新洞见、将复杂信息转化为易懂形式，以及推动跨社会分歧的反思。然而，这类系统也存在风险：可能因准确性问题、透明度缺失、偏见放大以及对人类能动性的威胁而破坏民主流程。本文中，我们探究人机协作如何通过识别关键沟通路径、提出设计考量来化解这些风险并改变公民沟通动态——这些设计考量在利用计算机自动化的同时，能为公共领导者和社区双方维持对决策的高度控制权。通过审慎整合AI以增进人际联结与理解、同时保障能动性，社区参与流程可借助AI在民主治理中推动更具建设性的沟通。
英文摘要：
Community engagement processes form a critical foundation of democratic governance, yet frequently struggle with resource constraints, sensemaking challenges, and barriers to inclusive participation. These processes rely on constructive communication between public leaders and community organizations characterized by understanding, trust, respect, legitimacy, and agency. As artificial intelligence (AI) technologies become increasingly integrated into civic contexts, they offer promising capabilities to streamline resource-intensive workflows, reveal new insights in community feedback, translate complex information into accessible formats, and facilitate reflection across social divides. However, these same systems risk undermining democratic processes through accuracy issues, transparency gaps, bias amplification, and threats to human agency. In this paper, we examine how human-AI collaboration might address these risks and transform civic communication dynamics by identifying key communication pathways and proposing design considerations that maintain a high level of control over decision-making for both public leaders and communities while leveraging computer automation. By thoughtfully integrating AI to amplify human connection and understanding while safeguarding agency, community engagement processes can utilize AI to promote more constructive communication in democratic governance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
