AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers
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Abstract (arXiv)
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.
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References · 4
- 2020Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019cited by 20
- 2025Working with AI: Measuring the Applicability of Generative AI to Occupationscited by 19
- 2022Creativity in translation: machine translation as a constraint for literary textscited by 10
- 2026Unseen Risks of Clinical Speech-to-Text Systems: Transparency, Privacy, and Reliability Challenges in AI-Driven Documentationcited by 1
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