Volume 3 number 4 (05)

Original research

TECHNICAL RATIONALITY AND CULTURAL SENSIBILITY: THE LIMITATIONS OF AI TRANSLATION AND THE ADAPTATION PATH OF HENAN’S LOCAL CULTURAL INDUSTRY DEVELOPMENT

Pages 235-246

DOI 10.61552/sjss.2026.04.005

ORCID Bin Lu


Abstract With the growing use of artificial intelligence (AI) translation technologies in the development of local cultural industries, their application in local cultural communication has demonstrated clear advantages in efficiency, while also revealing significant challenges related to cultural adaptation. This research analyzes the tension between the technical rationality of AI translation and the cultural sensitivity required for the development and dissemination of local culture. Drawing on case comparisons and in-depth interviews, the author finds that AI translation may lead to semantic distortion, emotional loss, and cultural stereotyping when dealing with dialects, intangible cultural heritage terminology, international communication, and local cultural narrative styles. These limitations make it difficult for AI translation to fully meet the industry’s core needs for cultural authenticity, narrative depth, and emotional connection. Therefore, this research proposes an adaptive pathway based on human-AI collaboration. In the short term, the process of “AI-assisted initial translation followed by expert review” should be optimized. In the medium term, diversified corpora covering different local cultural themes should be developed. In the long term, interdisciplinary teams of “cultural translators” should be cultivated. Ultimately, this approach can help transform AI translation from a mere substitute tool into an enhanced assistant, thereby supporting higher-quality and more sustainable development of local cultural industries.

Keywords: Local cultural industry, Cultural translation, Technical limitations, Cultural adaptability, Human-computer collaboration, Intangible cultural heritage.

Received: 22.01.2026 Revised: 03.03.2026 Accepted: 28.05.2026