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

How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and Propositions