திருக்குறளின் அற மேலாண்மை கோட்பாடுகள் மற்றும் செயற்கை நுண்ணறிவு அடிப்படையிலான நிர்வாக முடிவெடுத்தல் – ஓர் ஆய்வு
Ethical Management Principles of Thirukkural and Artificial Intelligence-Based Administrative Decision-Making: A Study
DOI:
https://doi.org/10.63300/tm10sp012026.01Keywords:
Thirukkural, Ethical Management, AI Governance, Ethical Decision-Making, Human-Centric AI, AccountabilityAbstract
In today’s management world, Artificial Intelligence (AI)-based decision-making systems are evolving rapidly. By analyzing massive amounts of data and making swift, accurate decisions, these systems have significantly boosted organizational efficiency. However, in these data-driven decision-making processes, there is a risk that value-based elements—such as ethics, humanity, and social responsibility—may be neglected. Challenges like algorithmic bias, transparency deficits, and accountability gaps in AI systems further confirm this concern.
In this context, the Ethical Governance principles presented in the ancient Tamil ethical treatise, Thirukkural, possess the potential to provide value-based guidance for AI-driven administrative decision-making. This research paper examines the fundamental principles of virtue, justice, integrity, responsibility, and compassion emphasized by Thiruvalluvar, exploring how they can be integrated into AI management systems.
AI systems can only emerge as ethical, responsible, and Human-Centric when a humanitarian foundation is added to their purely data-driven decision-making. The concept of "Thick Alignment" emphasizes that AI systems should not merely comply with superficial regulations but should operate by deeply understanding human values. Thirukkural’s ethical management principles provide the foundation for such deep understanding.
This study serves as a bridge between traditional wisdom and modern technology, highlighting opportunities for future AI administrative decision-making systems to become more humane and ethical. Through this, a new management philosophy of "Technology with Humanity"—combining technological capability with the values of Thirukkural—will emerge.
Downloads
References
1. European Data Protection Supervisor. (2025). *TechDispatch #2/2025 - Human Oversight of Automated Decision-Making* .
2. IEEE Xplore. (2025). Ethics in AI: Integrating Ancient Indian Wisdom into Large Language Models. 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC) .
3. MDPI Information. (2025). Perspectives on Managing AI Ethics in the Digital Age, 16(4), 318 .
4. IEEE Xplore. (2025). Ethics in AI: Integrating Ancient Indian Wisdom into Large Language Models. 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC) .
5. MDPI Information. (2025). Perspectives on Managing AI Ethics in the Digital Age, 16(4), 318 .
6. Brookings Institution. (2025). Hype and harm: Why we must ask harder questions about AI and its alignment with human values .
7. IEEE Xplore. (2025). TranspareGov-AI: A Multi-Domain Framework for Transparent and Auditable AI Governance .
8. ISO/IEC 42001:2025. Information technology — Artificial intelligence — Management system.
9. Shin, Y. (2025). Toward Human-Centered Artificial Intelligence for Users' Digital Well-Being. JMIR Human Factors .
10. IEEE Xplore. (2025). Ethics in AI: Integrating Ancient Indian Wisdom into Large Language Models. 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC) .
11. UNDP. (2025). The Next Great Divergence: Why AI May Widen Inequality Between Countries .
12. Nature. (2025). We need accountability in human–AI agent relationships. npj Artificial Intelligence, 1(38) .
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal adopts CC BY License Creative Commons Attribution 4.0 International License http://Creativecommons.org//license/by/4.0/ . It allows using, reusing, distributing and reproducing of the original work with proper citation.