arXiv — NLP / Computation & Language · · 3 min read

AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers

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Computer Science > Computation and Language

arXiv:2605.19234 (cs)
[Submitted on 19 May 2026]

Title:AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers

View a PDF of the paper titled AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers, by Miguel A. Jim\'enez-Crespo and 2 other authors
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Abstract:The rapid emergence of AI technologies is reshaping translation practices and theory across the board. This paper deals with the impact of AI in language access. This area is characterized by the need to serve broad and diverse user populations, within a context where efficiency and access are shaped by legal mandates, ethical and commercial tensions, and safety concerns. This paper reports on the attitudes and perceptions of language access managers towards the AI and the human value in the AI age. Methodologically, this paper presents an analysis of a subset of a broader study on language access and technology, specifically a qualitative thematic analysis of ten semi-structured interviews with language access managers in the USA working in healthcare, court, public service and local government contexts. The results indicate that language access managers show conditional optimism towards the inevitable AI implementations, are strongly risk aware, and deeply committed to the human value and human oversight of AI implementations and output.
Comments: 11 pages, 2 tables, Convergence Conference 2026
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
MSC classes: 91
ACM classes: A.1; K.4
Cite as: arXiv:2605.19234 [cs.CL]
  (or arXiv:2605.19234v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.19234
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Miguel A. Jimenez-Crespo [view email]
[v1] Tue, 19 May 2026 01:07:21 UTC (335 KB)
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