The Collaboration Gap in Human-AI Work
LLMs are increasingly presented as collaborators in programming, design, writing, and analysis. Yet the practical experience of working with them often falls short of this promise. In many settings, users must diagnose misunderstandings, reconstruct missing assumptions, and repeatedly repair misaligned responses. This poster introduces a conceptual framework for understanding why such collaboration remains fragile. Drawing on a constructivist grounded theory analysis of 16 interviews with designers, developers, and applied AI practitioners working on LLM-enabled systems, and informed by literature on human-AI collaboration, we argue that stable collaboration depends not only on model capa...
| Authors | Varad Vishwarupe, Marina Jirotka, Nigel Shadbolt et al. |
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| Primary category | cs.HC |
| Published | 20 April 2026 |
| Last updated at source | 20 April 2026 |
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