5. Biases in Machine Translation and AI Systems: and AI programs run the risk of obtaining biased information and data that can harmfully affect marginal communities and perpetuate detrimental ideas about certain groups of individuals. Language professionals and AI experts must oversee the gathering and collecting of data to ensure that these harmful biases will not cause issues with India's plans of inclusivity and cultural and linguistic diversity in the academe.
Final Words
Much like India, Abu Dhabi has also begun to implement and create an slovenia mobile database AI tool for its Arabic communities. These AI initiatives just show how transformative and revolutionary this technology has become. Low-resource languages now have the opportunity to make their language more accessible to the public, particularly in India's educational system.
These tools have the potential to break down language barriers, making education available to a more diverse student population. However, their successful implementation hinges on continued development, quality assurance, and the collaboration of AI and human educators. As India continues to prioritize indigenous languages in education, AI translation tools will play an increasingly vital role in reshaping the future of higher education in the country.