The Role of AI in Intercultural Academic Understanding and Communication

Research Article
Open access

The Role of AI in Intercultural Academic Understanding and Communication

Songlan Wang 1*
  • 1 Faculty of Humanities, Arts and Social Sciences, University of Exeter, Exeter, UK    
  • *corresponding author wangsl1046@outlook.com
LNEP Vol.94
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-111-2
ISBN (Online): 978-1-80590-112-9

Abstract

With the progress and development of artificial intelligence technology, the use of AI is becoming more and more frequent in people's lives and many fields. The application of AI in academic understanding and communication has attracted wide attention, but there are still shortcomings in the fields related to intercultural communication. This paper analyzes the role of AI in intercultural academic understanding and communication. By using ChatGPT and DeepSeek as two AI tools to translate literature in the field of intercultural communication, this paper analyzes and concludes that AI can be used more efficiently and conveniently in intercultural academic understanding and communication, reduce language barriers, and promote more intercultural academic understanding and communication. Based on the advantages and disadvantages of the two AI tools, this paper puts forward some suggestions, such as learning to use AI in advance, choosing AI tools that better meet the needs of users according to the characteristics of different AI, and insisting on self-thinking.

Keywords:

Artificial Intelligence, ChatGPT, DeepSeek, Intercultural Communication

Wang,S. (2025). The Role of AI in Intercultural Academic Understanding and Communication. Lecture Notes in Education Psychology and Public Media,94,33-37.
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References

[1]. Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language Models are Unsupervised Multitask Learners. OpenAI Blog, 1(8), 9.

[2]. Lee, T. K. (2024). Artificial Intelligence and Posthumanist Translation: Chatgpt Versus the Translator. Applied Linguistics Review, 15(6), 2351-2372.

[3]. Gao, R., Lin, Y., Zhao, N., & Cai, Z. G. (2024). Machine Translation of Chinese Classical Poetry: A Comparison among ChatGPT, Google Translate, and DeepL Translator. Humanities and Social Sciences Communications, 11(1), 1-10.

[4]. Ali, M. A. (2020). Quality and Machine Translation: An Evaluation of Online Machine Translation of English into Arabic Texts. Open Journal of Modern Linguistics, 10(5), 524-548.

[5]. Doherty, S. (2016). The Impact of Translation Technologies on the Process and Product of Translation. International Journal of Communication, 10, 23.

[6]. White, J. (1995). Approaches to Black-Box Machine Translation Evaluation. In Proceedings of MT Summit, 386-393.

[7]. Holliday, A. (2012). Intercultural Communication an Advanced Resource Book for Students. In Intercultural Communication. Routledge,.

[8]. Scollon, R., Scollon, S. W., & Jones, R. H. (2011). Intercultural Communication: A Discourse Approach. John Wiley & Sons.

[9]. Sarwari, A. Q., Javed, M. N., Mohd Adnan, H., & Abdul Wahab, M. N. (2024). Assessment of the Impacts of Artificial Intelligence (AI) on Intercultural Communication among Postgraduate Students in a Multicultural University Environment. Scientific Reports, 14(1), 13849.

[10]. Khasawneh, M. A. S. (2023). The Potential of AI in Facilitating Cross-Cultural Communication Through Translation. Journal of Namibian Studies: History Politics Culture, 37, 107-130.

Cite this article

Wang,S. (2025). The Role of AI in Intercultural Academic Understanding and Communication. Lecture Notes in Education Psychology and Public Media,94,33-37.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICEIPI 2025 Symposium: AI Am Ready: Artificial Intelligence as Pedagogical Scaffold

ISBN：978-1-80590-111-2(Print) / 978-1-80590-112-9(Online)
Editor：Kurt Buhring, Gregg S. Lloren
Conference website: https://2025.iceipi.org/Cebu.html
Conference date: 23 July 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.94
ISSN：2753-7048(Print) / 2753-7056(Online)

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References

[1]. Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language Models are Unsupervised Multitask Learners. OpenAI Blog, 1(8), 9.

[2]. Lee, T. K. (2024). Artificial Intelligence and Posthumanist Translation: Chatgpt Versus the Translator. Applied Linguistics Review, 15(6), 2351-2372.

[3]. Gao, R., Lin, Y., Zhao, N., & Cai, Z. G. (2024). Machine Translation of Chinese Classical Poetry: A Comparison among ChatGPT, Google Translate, and DeepL Translator. Humanities and Social Sciences Communications, 11(1), 1-10.

[4]. Ali, M. A. (2020). Quality and Machine Translation: An Evaluation of Online Machine Translation of English into Arabic Texts. Open Journal of Modern Linguistics, 10(5), 524-548.

[5]. Doherty, S. (2016). The Impact of Translation Technologies on the Process and Product of Translation. International Journal of Communication, 10, 23.

[6]. White, J. (1995). Approaches to Black-Box Machine Translation Evaluation. In Proceedings of MT Summit, 386-393.

[7]. Holliday, A. (2012). Intercultural Communication an Advanced Resource Book for Students. In Intercultural Communication. Routledge,.

[8]. Scollon, R., Scollon, S. W., & Jones, R. H. (2011). Intercultural Communication: A Discourse Approach. John Wiley & Sons.

[9]. Sarwari, A. Q., Javed, M. N., Mohd Adnan, H., & Abdul Wahab, M. N. (2024). Assessment of the Impacts of Artificial Intelligence (AI) on Intercultural Communication among Postgraduate Students in a Multicultural University Environment. Scientific Reports, 14(1), 13849.

[10]. Khasawneh, M. A. S. (2023). The Potential of AI in Facilitating Cross-Cultural Communication Through Translation. Journal of Namibian Studies: History Politics Culture, 37, 107-130.

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