Proceedings of the Third International Conference on Communication, Language, Literature, and Culture (ICCoLliC 2024)

Artificial Intelligence in Translation: The Menace, Promise, and Response to Technology and Superseded Practice

Authors
Bayu Budiharjo1, *
1Universitas Sebelas Maret Surakarta, Surakarta, Indonesia
*Corresponding author. Email: budiharjo_b@staff.uns.ac.id
Corresponding Author
Bayu Budiharjo
Available Online 24 December 2024.
DOI
10.2991/978-2-38476-321-4_52How to use a DOI?
Keywords
Artificial Intelligence; Translation; Integration; Opportunity; Challenges
Abstract

The integration of artificial intelligence (AI) into translation practice, teaching, and research has transformed the domain of translation. In translation practice, AI-driven tools such as neural machine translation (NMT) systems enhance efficiency, enabling translators to process large volumes of text rapidly and assisting translators in terms of consistency, such as the use of terminologies. However, this integration raises concerns, including issues of quality and sensitive or controversial content, necessitating a balanced approach combining AI capabilities with human expertise.

In the field of teaching, AI introduces opportunities and challenges. Educators can leverage AI tools to make students aware that the field of translation has evolved with the integration of AI, enhancing their understanding of contemporary translation practices. At the same time, educators must equip students with the critical skills to navigate emerging concerns and address the limitations of AI.

The area of research in AI and translation is also evolving, focusing on improving machine translation (MT) ability, delving into immediate concerns, and exploring the potential of AI to augment human translation. Research along these lines study methods to blend AI and human expertise while handling concerns such as ethical issues. AI-translator integration, driven from these research outcomes, promises to maximize the benefits of both, ensuring that AI tools complement rather than replace human translators.

This paper offers responses to the utilization of AI in translation, ensuring that the integration is effective and ethically sound. The ongoing assimilation between AI capabilities and human expertise is crucial in shaping the future of translation.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the Third International Conference on Communication, Language, Literature, and Culture (ICCoLliC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 December 2024
ISBN
978-2-38476-321-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-321-4_52How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Bayu Budiharjo
PY  - 2024
DA  - 2024/12/24
TI  - Artificial Intelligence in Translation: The Menace, Promise, and Response to Technology and Superseded Practice
BT  - Proceedings of the Third International Conference on Communication, Language, Literature, and Culture (ICCoLliC 2024)
PB  - Atlantis Press
SP  - 681
EP  - 694
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-321-4_52
DO  - 10.2991/978-2-38476-321-4_52
ID  - Budiharjo2024
ER  -