[2605.03078] Making the Invisible Visible: Understanding the Mismatch Between Organizational Goals and Worker Experiences in AI Adoption
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Computer Science > Artificial Intelligence
arXiv:2605.03078 (cs)
[Submitted on 4 May 2026]
Title:Making the Invisible Visible: Understanding the Mismatch Between Organizational Goals and Worker Experiences in AI Adoption
Authors:Christine P. Lee, Min Kyung Lee, Bilge Mutlu
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Abstract:While AI is often introduced into organizations to drive innovation and efficiency, many adoption efforts fail as workers resist and struggle to integrate these systems. These failures point to a deeper issue: workers, the very people expected to collaborate with AI, are often invisible in decisions about how AI is designed and used. Drawing on interviews with professionals who interact with AI systems daily in healthcare, finance, and management, we examine the disconnect between organizational expectations and worker experiences. We identify key barriers, including poor usability and interoperability, misaligned expectations, limited control, and insufficient communication. These challenges highlight a gap between how organizations implement AI and the evolving worker needs, tasks, and workflows that it fails to support. We argue that successful adoption requires recognizing workers as central to AI integration and propose adaptation strategies at the individual, task, and organizational levels to better align AI systems with real-world practices.
Subjects:
Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2605.03078 [cs.AI]
(or arXiv:2605.03078v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2605.03078
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arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Christine Lee [view email] [v1] Mon, 4 May 2026 18:47:29 UTC (31 KB)
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