Clients often partner with AI experts to develop AI applications tailored to their needs. In these partnerships, careful planning and clear communication are critical, as inaccurate or incomplete specifications can result in misaligned model characteristics, expensive reworks, and potential friction between collaborators. Unfortunately, given the complexity of requirements ranging from functionality, data, and governance, effective guidelines for collaborative specification of requirements in client-AI expert collaborations are missing. In this work, we introduce AINeedsPlanner, a workbook that AI experts and clients can use to facilitate effective interchange and clear specifications. The workbook is based on (1) an interview of 10 completed AI application project teams, which identifies and characterizes steps in AI application planning and (2) a study with 12 AI experts, which defines a taxonomy of AI experts' information needs and dimensions that affect the information needs. Finally, we demonstrate the workbook's utility with two case studies in real-world settings.

翻译：客户通常与AI专家合作，开发满足其特定需求的AI应用。在这些合作中，细致的规划和清晰的沟通至关重要，因为不准确或不完整的规格说明可能导致模型特性偏差、昂贵的返工以及合作者之间的潜在摩擦。遗憾的是，鉴于需求在功能性、数据和治理方面的复杂性，目前缺乏在客户-AI专家协作中共同制定需求规格的有效指南。本研究提出AINeedsPlanner工作手册，AI专家和客户可借此促进高效的信息交流与清晰的规格说明。该工作手册基于以下两项研究：（1）对10个已完成AI应用项目团队的访谈，明确了AI应用规划中的步骤及其特征；（2）对12位AI专家的调研，定义了AI专家信息需求的分类体系以及影响信息需求的相关维度。最后，我们通过两个真实环境中的案例研究展示了该工作手册的实用性。