Artificial Intelligence (AI) has emerged as an important tool in transforming multilingual communication in today’s digitally connected world. Advances in Natural Language Processing, machine translation, speech recognition, and conversational systems have enabled effective communication across languages in multilingual and culturally diverse societies. This paper examines the key opportunities and challenges associated with the use of AI in multilingual communication. AI-based language technologies such as real-time translation tools, voice assistants, and multilingual chatbots have improved access to education, public services, and digital platforms. These tools support regional and minority languages and promote digital inclusion, particularly for non-native speakers in educational and administrative contexts. Despite these benefits, challenges remain. AI systems often face issues related to data bias, inaccurate translations, cultural misinterpretation, and limited datasets for low-resource languages. Ethical concerns related to privacy and fairness further affect responsible AI deployment. The study emphasizes the need for inclusive and ethically designed AI models and highlights the importance of interdisciplinary collaboration. It concludes that while AI offers strong potential to enhance multilingual communication, human oversight and ethical governance are essential for sustainable and responsible use.
Manohara J. (2026) studied this question.