Unlocking Access: Language AI as a Catalyst for Digital Inclusion in India

Authors

  • Dayakar Siramgari

Keywords:

Language AI, Digital inclusion, India, Linguistic diversity, Natural language processing (NLP), Machine translation, Speech recognition, Digital divide, Regional languages, Code-switching, Digital literacy, Marginalized communities, India Languages

Abstract

This study explores the transformative potential of Language AI in promoting digital inclusion across India's diverse linguistic landscape. It examines the challenges and opportunities in developing and implementing Language AI technologies to bridge the digital divide, particularly for speakers of regional languages. The research highlights successful applications in healthcare, education, and government services, while also addressing technical and non-technical obstacles. Key findings emphasize the need for collaborative efforts among stakeholders to create inclusive digital ecosystems. Future research directions include investigating long-term socioeconomic impacts, developing advanced AI systems for complex linguistic patterns, and assessing user experiences to inform ongoing improvements in Language AI applications.

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Published

27.12.2022

How to Cite

Dayakar Siramgari. (2022). Unlocking Access: Language AI as a Catalyst for Digital Inclusion in India. International Journal of Intelligent Systems and Applications in Engineering, 10(3s), 264–276. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7093

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Section

Research Article

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