Ethics in Artificial Translation: A Biblical Perspective

This paper addresses the ethical challenges of Artificial Intelligence in Neural Machine Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness and cultural sensitivity. The authors investigate the ethical competence of AI models in NMT, examining the ethical considerations at each stage of NMT development, including data handling, focusing on privacy, data ownership, and consent. Employing a rigorous methodological framework, the authors identify and address ethical issues through empirical studies. These include employing transformer models for Luganda-English translations and enhancing efficiency with sentence mini-batching. Complementary studies refine labeling techniques and fine-tune models like BERT for analyzing Luganda and English social media content. Our second approach is a literature review from databases such as Google Scholar and platforms like GitHub. Additionally, the paper probes the distribution of responsibility between AI systems and humans, underscoring the essential role of human oversight in upholding NMT ethical standards. Incorporating a biblical perspective, the authors discuss the societal impact of NMT and the broader ethical responsibilities of developers, positing them as stewards accountable for the societal repercussions of their creations. The paper concludes with recommendations for NMT developers, advocating an approach that integrates technical proficiency with ethical integrity to advance NMT in a manner that is just and beneficial for all global communities, adhering to professional ethics and biblical values.