  Privacy policies play a vital role in safeguarding user privacy as legal
jurisdictions worldwide emphasize the need for transparent data processing.
While the suitability of privacy policies to enhance transparency has been
critically discussed, employing conversational AI systems presents unique
challenges in informing users effectively. In this position paper, we propose a
dynamic workflow for transforming privacy policies into privacy
question-and-answer (Q&A) pairs to make privacy policies easily accessible
through conversational AI. Thereby, we facilitate interdisciplinary
collaboration among legal experts and conversation designers, while also
considering the utilization of large language models' generative capabilities
and addressing associated challenges. Our proposed workflow underscores
continuous improvement and monitoring throughout the construction of privacy
Q&As, advocating for comprehensive review and refinement through an
experts-in-the-loop approach.
