Advances and Research Challenges in Generative Artificial Intelligence in India
Acceptance: 27/08/2025
Published: 10/09/2025
Abstract
Generative Artificial Intelligence (Generative AI) has emerged as one of the most transformative technologies of the digital era. It enables machines to generate human-like text, images, code, and multimedia content using advanced deep learning techniques. In India, generative AI is rapidly gaining traction across industries such as healthcare, finance, education, and e-commerce. The country’s growing digital ecosystem, large developer community, and increasing adoption of AI technologies create significant opportunities for innovation. However, several research challenges hinder the widespread adoption and effective implementation of generative AI systems in the Indian context. These challenges include limited availability of high-quality localized datasets, linguistic diversity, infrastructure constraints, ethical concerns, and regulatory uncertainties. Furthermore, issues such as algorithmic bias, misinformation, deep fake generation, and data privacy raise important questions about responsible AI deployment. This paper examines recent advances in generative AI in India and analyzes key technological, social, and regulatory challenges affecting its development. The study also explores the role of startups, government initiatives, and academic research in promoting generative AI innovation. Finally, the paper highlights future research directions aimed at developing inclusive, secure, and culturally aware generative AI systems suitable for India’s diverse population.
Keynote: Generative Artificial Intelligence, Machine Learning, Large Language Models, AI Ethics, India, Deep Learning.
Author Name:
VIVEK SINGH
Pages:
264-268
DOI Number:
10.5281/zenodo.22950418
Country:
India
Orcid:
Full Article
Reference
Takale, D. G., Mahalle, P. N., & Sule, B. (2024). Advancements and applications of generative artificial intelligence. Journal of Information Technology and Sciences, 10(1), 20–27.
https://matjournals.net/engineering/index.php/JOITS/article/view/188(MATJournals)
Singh, N. (2024).Generative artificial intelligence-Introduction, evolution, and applications. International Journal of Computer Sciences and Engineering.
https://doi.org/10.26438/ijcse/v13i11.6165 (ijcse.isroset.org)
Ramalakshmi, S., & Asha, G. (2024). Exploring generative AI: Models, applications, and challenges in data synthesis. Asian Journal of Researchin Computer Science, 17(12), 123-136.
https://doi.org/10.9734/ajrcos/2024/v17i12533 (journalajrcos.com)
Bansode, S. S., Ahire, R. N., Taware, G. G., & Bere, S. S. (2025). Generative artificial intelligence: Opportunities and challenges. International Journal of Advanced Research in Computer and Communication Engineering.
https://doi.org/10.17148/IJARCCE.2025.141125(Peer-reviewedJournal)
Vaishya, R., Gupta, B.M., Sab, C.M., Guechairi, S., Vaish, A., & Botchu,
R. (2025). Indian research on generative artificialintelligence in healthcare imaging: A comprehensive bibliometric analysis. Journal of Clinical
Imaging Science, 15, 48. https://doi.org/10.25259/JCIS_245_2025(PubMed)
Panda, S., & Kaur, N. (2024). Exploring the role of generative AI in academia: Opportunities and challenges. IP Indian Journal of Library Science and Information Technology, 9(1), 12–23. (ijlsit.org)
Hacker, P.(Ed.).(2025). Generative AI in India. In The Oxford Handbook of the Foundations and Regulation of Generative AI (pp. —). Oxford University Press. (OUP Academic)
Kallappa, A., Kamble, P., Ravi, A., Patidar, A., Dhruv, V., Kumar, D., Khatri,C.(2025). Krutrim LLM: Multilingual foundational model forovera billion people. arXiv. https://arxiv.org/abs/2502.09642 (arXiv)
Chitale, P. A., Gumma, V., Ahuja, S., Kodali, P., Uppadhyay, M., Sudharsan, D., & Sitaram, S. (2025). The role of synthetic data in multilingual,multi-culturalAIsystems:LessonsfromIndiclanguages. arXiv. https://arxiv.org/abs/2509.21294 (arXiv)
Singh, S., & Dhiman, S. (2025). Cyber crime and computer forensics in the epoch of artificial intelligence in India. arXiv.
Writer Name
VIVEK SINGH
Pages
264-268
DOI Numbers
10.5281/zenodo.22950418
Our Social Networks
AD EDUXIAN Publication is dedicated to advancing educational research and providing innovative learning solutions. We offer a wide range of services including publishing, editing, design, and marketing to support authors and researchers in their academic and professional endeavors.
Never miss any important news. Subscribe to our newsletter.
