How to get AI to work in 22 languages

The article discusses the challenges India faces in making artificial intelligence (AI) work effectively across its diverse linguistic landscape. With over 22 official languages and hundreds of dialects, bridging the communication gap between these languages is a significant hurdle for the country's AI development. To address this, the Indian government has launched initiatives to create multilingual AI models that can translate between various Indian languages. This includes the development of the Bhashini platform, which aims to provide seamless language translation services and enable the creation of localized AI applications. The article highlights the importance of building AI systems that can understand and communicate in the country's diverse languages, as it is crucial for ensuring equitable access to technology and services. Researchers are also exploring ways to leverage the wealth of linguistic data available in India to train more robust and accurate AI translation models. Overall, the article underscores India's efforts to overcome the language barrier and unlock the full potential of AI for its diverse population.