Ethics in AI: Integrating Ancient Indian Wisdom into Large Language Models

Large language models' (LLMs') ethical alignment becomes increasingly important as their impact on social norms and decision-making grows. Along with their Western counterparts from the same era, this study investigates how ancient Indian ethical and moral wisdom from significant and revered texts such as the Bhagavad Gita, the Manusmriti, the Upanishads, Patanjali's Yoga Sutras, the Ramayana, the Mahabharata, Arthashastra by Kautilya, and Tirukkural by Thiruvalluvar, among others, can be used as validation frameworks. Great concepts on ethics, morals, governance, obligation (Dharma), non-violence (Ahimsa), and universal well-being (Vasudhaiva Kutumbakam) may be found in these ancient works. We plan to ground LLMs in morality and cultural sensitivity through their training concepts and teachings. This essay combines Western concepts of justice, responsibility, respect, and transparency with ethical precepts from traditional philosophies. We will use scenario-based testing, ethical validation across cultural viewpoints, and training datasets tailored for certain cultural contexts to practically accomplish this. The study's findings demonstrate how creating large language models (LLMs) that are both technically sophisticated and morally sound can be achieved by fusing traditional knowledge with contemporary evaluation methods. This strategy will aid in the development of AI systems that honour and respect the various moral and cultural perspectives found around the world.