Andi Asrifan, Mohammed H. Alaqad
Traditional methodologies have become real- time solutions thanks to AI in interpretation, improving cross- language communication. Traditional approaches like consecutive and simultaneous interpretation relied on human skill, which was effective but slow and inaccurate. Neural machine translation (NMT) and deep learning have made context- aware, scalable, and efficient language processing possible. AI interpreters now capture complex language, idioms, and cultural subtleties, enhancing translation quality. Managing cultural sensitivity and algorithmic bias requires a hybrid approach that blends AI and human control. This integration preserves human communication while using AI's speed and efficiency. As AI evolves, its interpretation role will be crucial to global communication and understanding. © 2025, IGI Global Scientific Publishing. All rights reserved.
Universitas Negeri Makassar, Indonesia; University of Malaya, Malaysia
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