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In conventional software development, user experience (UX) designers andengineers collaborate through separation of concerns (SoC): designers createhuman interface specifications, and engineers build to those specifications.However, we argue that Human-AI systems thwart SoC because human needs mustshape the design of the AI interface, the underlying AI sub-components, andtraining data. How do designers and engineers currently collaborate on AI andUX design? To find out, we interviewed 21 industry professionals (UXresearchers, AI engineers, data scientists, and managers) across 14organizations about their collaborative work practices and associatedchallenges. We find that hidden information encapsulated by SoC challengescollaboration across design and engineering concerns. Practitioners describeinventing ad-hoc representations exposing low-level design and implementationdetails (which we characterize as leaky abstractions) to "puncture" SoC andshare information across expertise boundaries. We identify how leakyabstractions are employed to collaborate at the AI-UX boundary and formalize aprocess of creating and using leaky abstractions.

Human-AI Guidelines in Practice: Leaky Abstractions as an Enabler in Collaborative Software Teams