Methods of Teaching the Culture of Intercultural Speech Using Artificial Intelligence
This article examines the impact of artificial intelligence (AI) technologies on the change (transformation) of speech culture in intercultural communication from a linguistic point of view. Language models and virtual assistants, which are widely used in the digital space, play a significant role in shaping modern speech norms. Communication actions carried out through AI systems – automatic translations, chatbots, and voice assistants - change linguistic uniqueness, politeness strategies, and communication norms in intercultural dialogue. These changes sometimes lead to the formation of stereotypes, and sometimes to the emergence of new, universal speech patterns. The impact of artificial intelligence systems on speech culture and intercultural communication is profound and complex. AI systems not only process linguistic information, but also shape or distort cultural contexts. Therefore, in the future, with the development of artificial intelligence, it is very important to increase cultural adaptability, attach importance to linguistic etiquette and maintain linguistic and cultural diversity. This research work is aimed at a linguistic analysis of the impact of artificial intelligence on the transformation of speech culture in intercultural communication. Qualitative and comparative methods were used for this purpose. The article analyzes the influence of AI language systems on cultural and linguistic codes, the change and transformation of speech ethics in the context of globalization based on specific examples and scientific data.
Authors
- С. Нургали (ORCID: https://orcid.org/0000-0002-6679-9578)
- Nurgul Shadiyeva (ORCID: https://orcid.org/0000-0002-9315-0280)
- Makpal Alibayeva (ORCID: https://orcid.org/0000-0001-9673-2297)
Publication Details
- Journal
- Iasaýı ýnıversıtetіnіń habarshysy
- Published
- 2025-09-30
- DOI
- https://doi.org/10.47526/2025-3/2664-0686.254
- Primary Topic
- Foreign Language Teaching Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00