Andi Asrifan
The incorporation of artificial intelligence (AI) in translation has transformed global communication, providing swift and economical methods for overcoming language obstacles. This breakthrough presents considerable ethical difficulties, especially regarding accuracy, cultural sensitivity, and data privacy. AI translation systems frequently encounter difficulties with contextual subtleties, resulting in possible misinterpretations that may offend or mislead users. The management of sensitive user data presents significant privacy issues, requiring stringent security protocols and adherence to rules such as GDPR. A coordinated strategy including AI developers, enterprises, and expert translators is crucial to resolve these difficulties. By prioritizing ethical principles, stakeholders can improve the efficacy of AI translation while safeguarding cultural contexts and user privacy. This work underscores the necessity for ongoing surveillance and revisions of AI models, guided by cultural understanding, to preserve relevance and sensitivity in translations. © 2025, IGI Global Scientific Publishing. All rights reserved.
Universitas Negeri Makassar, Indonesia
