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January 17, 20260 citationsOpen Access

The Role of Indian Knowledge System in Generative Artificial Intelligence: Bridging Ancient Wisdom and Modern Innovation

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DJDr. Nilesh Joshi

Key Points

  • The central aim is to explore the intersections between ancient Indian knowledge systems and modern generative AI, focusing on both technical and ethical aspects.
  • Interdisciplinary analysis of historical texts and frameworks
  • Examination of Sanskrit's computational grammar
  • Study of Kerala School's combinatorial mathematics
  • Evaluation of Nyāya epistemic frameworks
  • Identified synergies between IKS and AI in natural language processing
  • Proposed unique approaches to algorithmic design and value alignment
  • Revealed opportunities for ethical AI governance through digitization
  • Discovered barriers to implementation of IKS principles in modern AI

Abstract

Abstract: This comprehensive study investigates the profound synergies between India’s ancient knowledge systems (IKS) and contemporary generative artificial intelligence (AI). Through interdisciplinary analysis of historical texts, mathematical frameworks, linguistic structures, and ethical philosophies, we demonstrate how IKS principles offer transformative solutions for generative AI’s technical and ethical challenges. Sanskrit’s computational grammar, combinatorial mathematics from Kerala School scholars, and Nyāya epistemic frameworks provide unique approaches to natural language processing (NLP), algorithmic design, and value alignment. Current research initiatives, case studies, and policy frameworks reveal both opportunities and implementation barriers. This paper argues for the systematic integration of IKS through digitization, interdisciplinary collaboration, and culturally-grounded AI governance, positioning India as a pioneer in ethically conscious AI development.

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Cite This Study

Dr. Nilesh Joshi (2025) studied this question.

synapsesocial.com/papers/696b26d7d2a12237a934a193https://doi.org/10.5281/zenodo.18260642
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