  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.
