
Artificial intelligence tools like ChatGPT can answer questions and write text. However, these AI systems have an important limitation. They can only speak and understand languages that humans taught them during training. If an AI system learned English and Spanish, it cannot suddenly speak French or Japanese without that training.
AI systems learn languages by reading millions of texts written by people. Engineers feed the AI large amounts of documents, books, and websites in different languages. The AI studies patterns in these texts and learns how words connect together. This process is called training. After training, the AI can recognize and produce language it has seen many times before.
If someone asks an AI system a question in a language it has not learned, the AI cannot answer well. For example, an AI trained only on English texts will struggle with a question in Korean. The AI simply does not have the knowledge or patterns to understand Korean words.
This limitation affects people around the world. Many languages have less training data available online. Languages spoken by fewer people may not have enough texts for AI systems to learn. This means speakers of smaller languages cannot easily use AI tools.
Companies are working to improve this situation. They collect more training texts in different languages. They also create AI systems designed specifically for certain languages. In the future, AI may become available in more of the world's languages.
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