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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Ethical Dilemmas and Paths to Reconstruction in the Era of AI-Assisted Translation
CUI Wei-xia
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DOI:10.17265/2159-5836/2026.08.004
Xi’an International Studies University, Xi’an, China
The shift toward Large Language Model (LLM)-driven “human-machine synergy” has enhanced translation efficiency but triggered unprecedented ethical dilemmas. This paper systematically examines four major crises in AI (artificial intelligence)-assisted translation: the diffusion of responsibility, privacy vulnerabilities stemming from digital extractivism, cultural flattening driven by algorithmic hegemony, and translators’ cognitive deskilling. To resolve these challenges, we propose reconstructing the ethical framework across four dimensions: implementing explainable AI architectures, establishing granular liability and fair data policies, reaffirming the “Human-in-Command” principle to restore human agency, and fostering a multi-stakeholder governance ecosystem. Ultimately, this study provides actionable pathways for building a trustworthy, culturally responsible translation ecosystem that balances computational efficiency with social accountability.
AI-assisted translation, generative AI, ethical dilemmas, human-machine synergy
Journal of Literature and Art Studies, August 2026, Vol. 16, No. 8, 660-665
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