Application of Artificial Intelligence for Developing Career Advancement Systems of Thai Civil Servants Based on Morality and Thai Wisdom
Keywords:
Applications, Artificial Intelligence Technology, Advancements, Thai Civil Servants, Morality and WisdomAbstract
This academic article aims to (1) analyze the application of Artificial Intelligence (AI) technology in the public sector human resource management system and (2) propose guidelines for developing a career advancement system for Thai civil servants based on Thai ethics and wisdom within the context of the transition to a digital government. The study was conducted using a documentary research approach, analyzing policy documents, research papers, and reports from the public sector and international organizations, covering the analysis period from 2015 to 2025. The findings indicate that (1) the concept and potential of AI in the public sector human resource management system can effectively support data-driven human resource management, particularly in recruitment, competency assessment, career development planning, and support for career advancement decisions. This enhances transparency, reduces bias from personal judgment, and increases accuracy in performance evaluation. However, the use of AI requires consideration of ethical risks, accountability, and data protection. And (2) guidelines for developing a balanced “career advancement system for Thai civil servants” that balances technology and human values should be based on Thai ethics and wisdom, such as honesty, responsibility, public spirit, moderation, compassion, and balanced thinking. The proposal suggests establishing an AI governance policy, developing a central personnel information system, and designing AI to support personalized and verifiable career assessments and recommendations, aiming for a transparent, fair, and sustainable civil service system in the digital age.
References
นิธิ เอียวศรีวงศ์. (2563). ภูมิปัญญาไทยกับการพัฒนาสังคมสมัยใหม่. กรุงเทพฯ: มติชน.
สำนักงานคณะกรรมการข้าราชการพลเรือน (ก.พ.). (2565). รายงานประจำปี 2565: การพัฒนาระบบราชการไทยในยุคดิจิทัล. กรุงเทพฯ: สำนักงานคณะกรรมการข้าราชการพลเรือน (ก.พ.).
สำนักงานพัฒนารัฐบาลดิจิทัล (องค์การมหาชน). (2566). ยุทธศาสตร์รัฐบาลดิจิทัลของประเทศไทย พ.ศ. 2566-2570. กรุงเทพฯ: สำนักงานพัฒนารัฐบาลดิจิทัล (องค์การมหาชน).
สุเมธ ตันติเวชกุล. (2564). เศรษฐกิจพอเพียงกับนวัตกรรมสมัยใหม่. กรุงเทพฯ: สำนักงานคณะกรรมการพัฒนาการเศรษฐกิจและสังคมแห่งชาติ.
Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.101994
Floridi, L. (2019). The logic of information: A theory of philosophy as conceptual design. Oxford, UK: Oxford University Press.
Hood, C. (1991). A public management for all seasons. Public Administration, 69(1), 3-19. https://doi.org/10.1111/j.1467-9299.1991.tb00779.x
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50. https://doi.org/10.1007/s11747-020-00749-9
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. https://doi.org/10.1038/s42256-019-0088-2
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1-21. https://doi.org/10.1177/2053951716679679
Office of the Civil Service Commission (OCSC). (2022). Civil service human resource management report 2022. Bangkok: Office of the Civil Service Commission (OCSC).
Organisation for Economic Co-operation and Development (OECD). (2023).
AI in the Public Sector: Understanding opportunities and challenges for governments. Paris: Organisation for Economic Co-operation and Development (OECD) Publishing. https://doi.org/10.1787/4f6b9e8a-en
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A modern approach. Boston: Pearson.
Sandel, M. J. (2020). The tyranny of merit: What’s become of the common good. New York: Farrar, Straus and Giroux.
UNESCO. (2021). Artificial intelligence and the public sector: Recommendations for responsible AI governance. Paris: UNESCO. https://doi.org/10.18356/9789231005185
United Nations (UN). (2022). E-Government Survey 2022: The future of digital government. New York: United Nations. https://doi.org/10.18356/9789210017899
World Economic Forum. (2022). Shaping the future of the digital economy and new value creation. Geneva: World Economic Forum.