THE FUTURE OF ARTIFICIAL INTELLIGENCE IN TRANSLATION AND ITS SOCIETAL IMPLICATIONSTHE FUTURE OF ARTIFICIAL INTELLIGENCE IN TRANSLATION AND ITS SOCIETAL IMPLICATIONS

Authors

  • Raimov Lazizjon Alisherovich Termez Economics and Service University

Keywords:

Artificial intelligence, machine translation, neural machine translation

Abstract

The rapid advancement of artificial intelligence (AI) in translation has significantly transformed global communication, reducing linguistic barriers and enhancing cross-cultural interactions. Neural Machine Translation (NMT) and deep learning techniques have enabled AI to provide more accurate and context-aware translations, benefiting fields such as international relations, education, and business. However, challenges remain, including linguistic diversity preservation, contextual accuracy, and ethical concerns such as algorithmic bias and data privacy. This article explores the evolving role of AI in translation, its societal implications, and the need for interdisciplinary collaboration to ensure inclusive and responsible technological development

References

Balas, V. E., Kumar, R., & Srivastava, R. (Eds.).

(2020). Recent trends and advances in artificial

intelligence and internet of things.

Visvikis, D., Lambin, P., Beuschau Mauridsen,

K., Hustinx, R., Lassmann, M., Rischpler, C., ...

& Pruim, J. (2022). Application of artificial

intelligence in nuclear medicine and molecular

imaging: a review of current status and future

perspectives for clinical translation. European

journal of nuclear medicine and molecular

imaging, 49(13), 4452-4463.

Sebastian, A. M., & Peter, D. (2022). Artificial

intelligence in cancer research: trends,

challenges and future directions. Life, 12(12),

Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag,

A., Kurdthongmee, W., Suwannarat, K., &

Mukhopadhyay, S. C. (2023). Integration of

IoT-enabled technologies and artificial

intelligence (AI) for smart city scenario: recent

advancements and future trends. Sensors,

(11), 5206.

Zhang, C., & Lu, Y. (2021). Study on artificial

intelligence: The state of the art and future

prospects. Journal of Industrial Information

Integration, 23, 100224.

Solanki, A. (2024). Advancements in Artificial

Intelligence: A Comprehensive Review and

Future Prospects. International Journal of

Artificial Intelligence Research and

Development (IJAIRD), 2(1), 53-64.

Lv, Z. (2023). Generative artificial intelligence

in the metaverse era. Cognitive Robotics, 3,

-217.

Hicham, N., Nassera, H., & Karim, S. (2023).

Strategic framework for leveraging artificial

intelligence in future marketing decisionmaking. Journal of Intelligent Management

Decision, 2(3), 139-150.

Khalid, N., Qayyum, A., Bilal, M., Al-Fuqaha, A.,

& Qadir, J. (2023). Privacy-preserving artificial

intelligence in healthcare: Techniques and

applications. Computers in Biology and

Medicine, 158, 106848.

Lin, Y., & Yu, Z. (2024). A bibliometric analysis

of artificial intelligence chatbots in educational

contexts. Interactive Technology and Smart

Education, 21(2), 189-213.

Downloads

Published

2025-03-21

How to Cite

Raimov Lazizjon Alisherovich. (2025). THE FUTURE OF ARTIFICIAL INTELLIGENCE IN TRANSLATION AND ITS SOCIETAL IMPLICATIONSTHE FUTURE OF ARTIFICIAL INTELLIGENCE IN TRANSLATION AND ITS SOCIETAL IMPLICATIONS. World Bulletin of Social Sciences, 44, 43-46. Retrieved from https://scholarexpress.net/index.php/wbss/article/view/5079

Issue

Section

Articles