The Technological Applications and Risk Challenges of Artificial Intelligence in International Communication
Abstract
As a driving force of technological innovation in the field of international communication, artificial intelligence (AI) not only reconstructs the technological logic of global information production and distribution but also fundamentally reshapes the cognitive paradigms and power structures underpinning cross-cultural communication. Particularly within the domain of international public opinion, AI demonstrates comprehensive advantages across the entire communication chain—from data collection and multi-modal content production to precise dissemination—by leveraging its powerful data processing and content generation capabilities. AI technologies are rewriting the regulatory framework of international communication and posing novel challenges to communication ethics and security. This paper systematically analyzes the dialectical relationship between technological empowerment and risk coexistence, revealing the internal mechanisms through which AI influences international communication. Furthermore, it explores the theoretical value and practical pathways for establishing a new international communication order in the intelligent era, focusing on three dimensions: technological governance, institutional innovation, and international collaboration.
References
- Wang, J. D. (2025). Cultivating new quality productivity in journalism: Analysis of smart media iteration upgrading and reshaping communication ecology. Journalist Cradle, (01), 132–134.
- Yu, T. S., & Gu, L. P. (2025). The application, concerns, and coping strategies of artificial intelligence in news production. News Enthusiast, (01), 54–56.
- Zhang, M. X., & Chou, Y. H. (2025). Technological empowerment and ethical dilemmas: A study on the impact of generative AI on journalism. Audio-Visual, (01), 11–14.
- Zhou, B. H., & Wu, Y. Q. (2024). International communication under the influence of generative artificial intelligence: Practice progress and impact pathways. International Communication, (06), 4–8.
- Guo, H. W., & Hu, Z. R. (2025). AI-driven enhancement of accessibility in international communication: Mechanisms, dilemmas, and pathways. China Television, (01), 73–82.
- Deng, J. X. (2024). Construction of national image in CGTN’s VR news from a cross-cultural communication perspective (Master’s thesis). Hebei University.
- Zhao, Z. W. (2024). Opportunities and risks: A preliminary study on the impact of artificial intelligence technology on online public opinion governance.Media, (15), 94–96.
- Liu, G. H. (2024). Typological analysis and governance paths of risks in generative AI misinformation. Science & Technology Communication, 16(20), 109–113.
- Lu, J. P., & Dang, Z. Q. (2024). Production and dissemination of misinformation in the AIGC era and the protection of national security and civil rights. Journal of Zhejiang University (Humanities and Social Sciences), 54(05), 42–58.
- James Parrish, & amp; nbsp; Kashif S. (2025). Understanding the impact of culture on the teleological evaluation of delegation to artificial intelligence-enabled information systems. Technological Forecasting and Social Change, 219, Article 124247.
- Luo, X., & Zhang, J. J. (2023). Production mechanisms and global governance of Western fake news in the context of information geopolitics. Youth Reporter, (11), 80–83.
- Dong, Q. L., & Zhu, Y. (2021). Algorithmic justice and order construction in the era of artificial intelligence. Exploration and Free Views, (03), 82–86+178.
- Wu, X. K., & Deng, K. Q. (2024). Data selection, information filtering, and collaborative governance behind algorithmic bias. China Publishing, (06), 10–15.
- Qian, H. W., Peng, J. T., Yuan, M., et al. (2025). Factors influencing data leakage in pre-trained language models. Information Security Research, 11(02), 181–188.
- Xiang, D. B., & Cao, C. X. (2022). Value bias and governance of international public opinion involving China on international social media platform algorithms. International Communication, (10), 8–11.