AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers
Authors: Miguel A. Jim'enez-Crespo, Stephanie Rodriguez, Alejandro Jaume Losa
Summary
arXiv:2605. 19234v1 Announce Type: new Abstract: The rapid emergence of AI technologies is reshaping translation practices and theory across the board.
Relevance
Read next because AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers overlaps with clean result "LoRA persona trained on alone emits at 23.5% when a co-trained partner learns ..., vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, text, implement, contexts, language. Source: arxiv cs.CL (NLP).
Abstract
arXiv:2605.19234v1 Announce Type: new 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.