Artificial Intelligence (AI) has revolutionised translation and changed how people connect across linguistic barriers. Machine translation (MT), neural machine translation (NMT), and AI-powered localisation systems are examples of AI-assisted translation solutions that have become indispensable in academic, professional, commercial, and cross-cultural communication situations. These tools offer hitherto unheard-of scale, speed, and accessibility. However, the growing reliance on AI raises a number of ethical questions, such as those pertaining to data privacy, cultural misrepresentation, accuracy, and the shrinking role of human translators. The twin aspects of potential and ethical issues related to AI-assisted translation are examined in this study. It looks at technology developments, assesses the effectiveness and constraints of translation models, considers the necessity of human control, and analyses the sociocultural and ethical ramifications. The study emphasises that, while AI technologies improve translation speed, they cannot replace the sophisticated understanding, cultural sensitivity, and ethical obligation that human translators provide. A balanced blend of AI and human knowledge is required to provide trustworthy, egalitarian, and culturally responsible translations.