Book Review: Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation

Document Type : Original Article

Author

assistant professor of Translation Studies in the Foreign Languages Department at Taif University, Saudi Arabia

Abstract

Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation offers an in-depth exploration of the ethical, legal, and societal implications of machine translation (MT) technologies. This book review explores the discussions presented in the book and presents an analysis of the challenges and considerations that accompany the use of MT in various contexts. The review acknowledges the book's strengths in addressing essential issues like authorship, data privacy, bias, and the ecological footprint of MT technologies while also pointing to areas where further elaboration could enhance understanding. Personal reflections on the book's content highlight its timely relevance in the era of advanced generative AI and emphasize the necessity of ethical and responsible usage of MT. The review praises the structured approach of the book, which aids in the thorough understanding of complex topics, making it a valuable resource for professionals and scholars in the field. It also underscores the book's contribution to fostering a responsible approach to MT and its importance for anyone involved in the development, implementation, or study of MT technologies.

Keywords


Béchara, H., Orăsan, C., Parra Escartín, C., Zampieri, M., & Lowe, W. (2021). The Role of Machine Translation Quality Estimation in the Post-Editing Workflow. Informatics, 8(3), Article 3. https://doi.org/10.3390/informatics8030061
Curzon, J., Kosa, T. A., Akalu, R., & El-Khatib, K. (2021). Privacy and Artificial Intelligence. IEEE Transactions on Artificial Intelligence, 2(2), 96–108. https://doi.org/10.1109/TAI.2021.3088084
Federici, F. M., Declercq, C., Cintas, J. D., & Piñero, R. B. (2023). Ethics, Automated Processes, Machine Translation, and Crises. In H. Moniz & C. Parra Escartín (Eds.), Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation (pp. 135–156). Springer International Publishing. https://doi.org/10.1007/978-3-031-14689-3_8
Läubli, S., Castilho, S., Neubig, G., Sennrich, R., Shen, Q., & Toral, A. (2020). A Set of Recommendations for Assessing Human–Machine Parity in Language Translation. Journal of Artificial Intelligence Research, 67, 653–672. https://doi.org/10.1613/jair.1.11371
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Defining organizational AI governance. AI and Ethics, 2(4), 603–609. https://doi.org/10.1007/s43681-022-00143-x
Moniz, H., & Parra Escartín, C. (Eds.). (2023). Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation (Vol. 4). Springer International Publishing. https://doi.org/10.1007/978-3-031-14689-3