Generative AI: Initiative, Prospects, and Regulation with Reference to India

Alok Gupta; Mohammad Abu Saleh

doi:10.69968/ijisem.2025v3si2454-458

Authors

Alok Gupta Department of Financial Studies, Veer Bahadur Singh Purvanchal University, Jaunpur, U.P., India.
Mohammad Abu Saleh Department of Financial Studies, Veer Bahadur Singh Purvanchal University, Jaunpur, U.P., India.

DOI:

https://doi.org/10.69968/ijisem.2025v3si2454-458

Keywords:

Generative Artificial Intelligence (AI), Generative adversarial network (GAN), Machine learning techniques, Privacy concerns, Regulations on AI

Abstract

Medical education has been transformed by generative artificial intelligence (AI), which is distinguished by its capacity to produce a wide range of material types, including text, graphics, video, and audio. Personalised learning, improved resource accessibility, and interactive case studies are all made possible by generative AI, which uses machine learning to produce a variety of material. Review the many studies conducted by researchers on the projects, opportunities, and regulations surrounding generative AI in India in this article. This paper emphasises how generative AI is widely used in fields including content creation, education, and media. Generative AI generates realistic data samples by examining dataset distributions and using methods like autoregressive models, flow-based models, GANs, and VAEs. Applications in fields including text production, picture synthesis, video, music, and medicine are advantageous. But there are ethical issues with deepfakes, false information, prejudices, privacy, and intellectual property rights. Although India's Ministry of Electronics and IT claims that no AI rules are in the works, the country need to take the EU AI Regulation into consideration. But it's unclear how it will affect AI development, either encouraging or limiting progress.

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