The advent of Artificial Intelligence (AI) tools, such as Large Language Models, has introduced new possibilities for Qualitative Data Analysis (QDA), offering both opportunities and challenges. To help navigate the responsible integration of AI into QDA, we conducted semi-structured interviews with 15 Human-Computer Interaction (HCI) researchers experienced in QDA. While our participants were open to AI support in their QDA workflows, they expressed concerns about data privacy, autonomy, and the quality of AI outputs. In response, we developed a framework that spans from minimal to high AI involvement, providing tangible scenarios for integrating AI into QDA practices while addressing researchers' needs and concerns. Aligned with real-life QDA workflows, we identify potential for AI tools in areas such as data pre-processing, researcher onboarding, or conflict mediation. Our framework aims to provoke further discussion on the development of AI-supported QDA and to help establish community standards for responsible Human-AI collaboration.

翻译：以大型语言模型为代表的人工智能工具的出现，为定性数据分析带来了新的可能性，既创造了机遇也带来了挑战。为探索AI在QDA中负责任地整合路径，我们对15位具有QDA经验的人机交互研究者进行了半结构化访谈。尽管参与者对在QDA工作流程中引入AI支持持开放态度，但他们也对数据隐私、自主权和AI输出质量表示担忧。为此，我们构建了一个从最低程度到高度AI参与的框架，通过具体场景展示AI如何融入QDA实践，同时回应研究者的需求与关切。结合现实QDA工作流程，我们识别出AI工具在数据预处理、研究者入门引导和矛盾调解等领域的应用潜力。本框架旨在激发关于AI支持型QDA发展的深入讨论，并助力建立负责任的人机协作社区标准。