Promoting Research And Innovation Through Ai: Global And Indian Perspectives

Abstract

Artificial Intelligence (AI) has emerged as one of the most transformative forces shaping contemporary research and innovation ecosystems across the world. By enabling advanced data analytics, predictive modelling, automation of routine tasks, and intelligent decision-making, AI has significantly altered how knowledge is generated, validated, and disseminated. This research paper examines the role of AI in promoting research and innovation from a combined global and Indian perspective, highlighting both opportunities and structural challenges. The study adopts a qualitative and analytical approach, drawing upon interdisciplinary literature, policy documents, and real-world case examples to explore how AI enhances research productivity, fosters cross-disciplinary collaboration, and accelerates innovation cycles. At the global level, the paper analyses how leading economies and institutions integrate AI into research infrastructures to address complex societal problems in health, education, climate change, and industrial development. Simultaneously, the Indian context is examined with reference to national initiatives such as the National Education Policy 2020, National Strategy for Artificial Intelligence, and the growing role of academic institutions, startups, and public research organizations. The paper also critically engages with ethical, legal, and social concerns associated with AI-driven research, including data privacy, algorithmic bias, transparency, and academic integrity. By juxtaposing global best practices with India’s evolving research ecosystem, the study identifies gaps, strengths, and future possibilities. It concludes that AI, when governed responsibly and inclusively, can act as a powerful enabler of equitable research and sustainable innovation, provided that human creativity, ethical oversight, and institutional capacity-building remain central to its deployment.