UX practitioners (UXPs) face novel challenges when working with and
communicating artificial intelligence (AI) as a design material. We explore how
UXPs communicate AI concepts when given hands-on experience training and
experimenting with AI models. To do so, we conducted a task-based design study
with 27 UXPs in which they prototyped and created a design presentation for a
AI-enabled interface while having access to a simple AI model training tool.
Through analyzing UXPs' design presentations and post-activity interviews, we
found that although UXPs struggled to clearly communicate some AI concepts,
tinkering with AI broadened common ground when communicating with technical
stakeholders. UXPs also identified key risks and benefits of AI in their
designs, and proposed concrete next steps for both UX and AI work. We conclude
with a sensitizing concept and recommendations for design and AI tools to
enhance multi-stakeholder communication and collaboration when crafting
human-centered AI experiences