Artificial intelligence interpretation has evolved from basic rule-based systems to sophisticated models capable of understanding context, tone, and intent. Early AI relied on programmed logic for translation, while modern advancements, driven by machine learning and natural language processing, enable real-time multilingual communication and sentiment analysis. Innovations like neural networks and deep learning have enhanced accuracy and adaptability, making AI a vital tool in bridging cultural and linguistic divides. As AI continues to improve, its journey highlights a transformative shift toward seamless, human-like interaction in communication.