Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation

arXiv:2404.01070v1 Announce Type: new
Abstract: 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. We investigate the ethical competence of AI models in NMT, examining the Ethical considerations at each stage of NMT development, including data handling, privacy, data ownership, and consent. We identify and address ethical issues through empirical studies. These include employing Transformer models for Luganda-English translations and enhancing efficiency with …

abstract ai models artificial artificial intelligence arxiv challenges cs.ai cs.cl developers ethical ethical considerations fairness integrity intelligence machine machine translation neural machine translation paper sensitivity solutions stage systems translation type