What question did this study set out to answer?

The aim is to investigate how Indian Knowledge Systems can interact with AI and Machine Learning for mutual enrichment.

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January 17, 2026

Indian Knowledge Systems (IKS) and Artificial Intelligence with Machine Learning: A Synergistic Approach

Key Points

The aim is to investigate how Indian Knowledge Systems can interact with AI and Machine Learning for mutual enrichment.
Explored traditional Indian concepts across various fields such as medicine and agriculture.
Analyzed challenges in interpreting and integrating these traditional insights with modern technology.
Identified opportunities for computational methodologies to enhance cultural insights.
Highlighted ways in which IKS can influence AI/ML development.
Demonstrated the potential for enriching technological approaches through cultural considerations.
Outlined the complexities of merging traditional wisdom with modern computational techniques.

Abstract

AbstractIndian Knowledge Systems represent a diverse collection of traditional insights, cultivated over extensive periods through observation, practical experience, and spiritual inquiry. Current challenges involve interpr etational complexities, data limitations, cultural context sensitivities, and intellectual property considerations. The advancement of Artificial Intelligence and Machine Learning offers a distinctive opportunity to merge the practical and philosophical dimensions of IKS with data-centric and computationally intensive methodologies. This paper explores the intersection of IKS with AI/ML, highlighting how time-honored Indian concepts from fields like medicine, agriculture, linguistics, astronomy, and logic can enrich and guide contemporary technological advancements.

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