ETHICAL IMPLICATIONS OF HUMAN RESOURCE DEVELOPMENT AND APPLICATION OF ARTIFICIAL GENERAL INTELLIGENCE (AGI) IN THE CONTEXT OF GLOBAL BUSINESS GOVERNANCE
Keywords:
Ethical Implications, Human Resource Development (HRD), Artificial General Intelligence (AGI), Global Business Governance, Algorithmic Bias, Employee Privacy, Responsible AGI Deployment.Abstract
This research delved into the ethical ramifications of integrating Artificial General Intelligence (AGI) into Human Resource Development (HRD) within the framework of global business governance. The study addressed the increasing adoption of AGI technologies in HRD practices across diverse international organizations. It explored the potential benefits of AGI in streamlining HRD processes, enhancing efficiency, and providing data-driven insights. However, the research also highlighted the ethical dilemmas accompanying this technological transformation. Issues such as algorithmic bias, invasion of employee privacy, and the responsibility of organizations to ensure fairness and inclusivity emerged as central concerns. The study highlighted the critical importance of addressing these ethical challenges to maintain the integrity of HRD practices. In the context of global business governance, the research emphasized the need for organizations to navigate a complex web of regulations, industry standards, and cultural nuances. Compliance with global governance mechanisms was recognized as essential to align AGI-driven HRD with ethical principles on an international scale. The findings underscored the significance of responsible AGI deployment and collaboration with global governance frameworks to uphold human rights and data privacy. The study concluded by calling for a proactive approach to AGI ethics, ensuring that the transformative potential of AGI in HRD is harnessed while safeguarding the well-being and rights of employees worldwide.
References
Al-kasasbeh, A. M., Halim, M. A. S. A., & Omar, K. (2016). E-HRM, workforce agility, and organizational performance: A review paper toward theoretical framework. International Journal of Applied Business and Economic Research, 14(15), 10671-10685.
Allioui, H., & Mourdi, Y. (2023). Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey. Sensors, 23(19), 8015.
Appio, F. P., Frattini, F., Petruzzelli, A. M., & Neirotti, P. (2021). Digital transformation and innovation management: A synthesis of existing research and an agenda for future studies. Journal of Product Innovation Management, 38(1), 4-20.
Asiaei, A., & Ab. Rahim, N. Z. (2019). A multifaceted framework for adoption of cloud computing in Malaysian SMEs. Journal of Science and Technology Policy Management, 10(3), 708–750.
Bankins, S., & Formosa, P. (2023). The ethical implications of artificial intelligence (AI) for meaningful work. Journal of Business Ethics, 1-16.
Baum, S. (2017). A survey of artificial general intelligence projects for ethics, risk, and policy. Global Catastrophic Risk Institute Working Paper, pp. 17–1.
Bealer, D., & Bhanugopan, R. (2014). Transactional and transformational leadership behavior of expatriate and national managers in the UAE: a cross-cultural comparative analysis. The international journal of human resource management, 25(2), 293-316.
Bojang, S. (2023). Implementing a SMART plan Performance management system to improve human resource performance: obstacles and challenges (A case study of InSIST Global) (Bachelor's thesis, FAKULTAS EKONOMI DAN BISNIS UIN JAKARTA).
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., ... & Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1-126.
Campbell, C. (2022). AI by design: A plan for living with artificial intelligence. CRC Press.
Campbell, C. (2022). AI by design: A plan for living with artificial intelligence. CRC Press.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 1–25.
Chen, Z. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Humanities and Social Sciences Communications, 10(1), 1–12.
Clark-Kazak, C. (2017). Ethical considerations: Research with people in situations of forced migration. Refuge, 33(2), 11-17.
Dawadi, S., Shrestha, S., & Giri, R. A. (2021). Mixed-methods research: A discussion on its types, challenges, and criticisms. Journal of Practical Studies in Education, 2(2), 25–36.
Dou, F., Ye, J., Yuan, G., Lu, Q., Niu, W., Sun, H., ... & Song, W. (2023). Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. arXiv preprint arXiv:2309.07438.
Dusek, G., Yurova, Y., & Ruppel, C. P. (2015). Using social media and targeted snowball sampling to survey a hard-to-reach population: A case study. International Journal of Doctoral Studies, 10, 279.
Forero, R., Nahidi, S., De Costa, J., Mohsin, M., Fitzgerald, G., Gibson, N., ... & Aboagye-Sarfo, P. (2018). Application of four-dimension criteria to assess the rigor of qualitative research in emergency medicine. BMC Health Services Research, 18(1), 1–11.
Goertzel, B., Pitt, J., & Novamente, L. L. C. (2012). Nine ways to bias open-source AGI toward friendliness. Nine, 22(1).
He, Y. (2023). Unraveling the interplay between food security, agriculture, trade policy, and energy consumption: An environmental sustainability insight. Energy & Environment, 0958305X231195604.
Jooss, S., Collings, D. G., McMackin, J., & Dickmann, M. (2023). A skills‐matching perspective on talent management: Developing strategic agility. Human Resource Management.
Malakar, Y., & Lacey, J. (2020). Risk governance of nanotechnology in Australia.
Nazir, O., & Islam, J. U. (2020). Influence of CSR-specific activities on work engagement and employees' innovative work behavior: An empirical investigation. Current Issues in Tourism, 23(24), 3054-3072.
Percival, R. V., Schroeder, C. H., Miller, A. S., & Leape, J. P. (2021). Environmental regulation: Law, science, and policy [connected EBook with study center]. Aspen Publishing.
Piccinini, E., Hanelt, A., Gregory, R., & Kolbe, L. (2015). We are transforming industrial business: the impact of digital transformation on automotive organizations.
Pletcher, S. N. (2023). Starting Slowly to Go Fast Deep Dive in the Context of AI Pilot Projects.
Prastyaningtyas, E. W., Ausat, A. M. A., Muhamad, L. F., Wanof, M. I., & Sutherland, S. (2023). The Role of Information Technology in Improving Human Resources Career Development. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(3), 266
Rayhan, A., Rayhan, R., & Rayhan, S. (2023). Artificial General Intelligence: Roadmap To Achieving Human-Level Capabilities.
Thompson, E. P. (2017). Time, work‐discipline, and industrial capitalism. Class: The Anthology, 27-40.
West, J. P., & Bowman, J. S. (2016). The domestic use of drones: An ethical analysis of surveillance issues. Public Administration Review, 76(4), 649–659.
Zhang, Y., Liu, H., Kang, S. C., & Al-Hussein, M. (2020). Virtual reality applications for the built Environment: Research trends and opportunities. Automation in Construction, 118, 103311.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
