Challenges of artificial intelligence in Human Talent Management
Abstract
The article aims to analyze the various challenges presented by the implementation of artificial intelligence (IA) in human talent management. These challenges include ethical aspects, such as data privacy and algorithmic biases, as well as practical implications, such as the impact of automation on employment. In terms of privacy, AI requires the use of large volumes of personal data, which poses significant risks, including that automation may displace workers, creating job uncertainty and challenges in transitioning to new or changed roles. To mitigate these challenges, the article proposes the creation and implementation of policies that ensure the ethical and responsible use of AI. It is crucial to ensure transparency in the development and operation of algorithms and to protect the rights and privacy of employees. A fair working environment, where AI is integrated in a harmonious and beneficial way for all involved, should also be promoted. In conclusion, proactively addressing the ethical and practical challenges of AI can significantly improve efficiency and fairness in human talent management.
Downloads
References
Brent, J., & Mehta, M. (2022). Artificial intelligence and talent management: The future is here. En F. Horta & A. Gaspar (Eds.), Talent Management Handbook (pp. 56-71). Springer. https://doi.org/10.1007/978-3-030-99965-9_4
Canossa Montes de Oca, H., & Peraza Villarreal, N. (2024). Gestión del Talento Humano en la Era de la Inteligencia Artificial: Retos y Oportunidades en el Entorno Laboral. 593 Digital Publisher CEIT, 9(1), 302-319.
Chávez B. R., & Orellana, K. (2012). Sistematización del Departamento de Talento Humano de la Matríz y Sucursales de la Cooperativa Juan Pío de Mora Ltda [Tesis de maestría, Universidad Técnica de Babahoyo]. https://rraae.cedia.edu.ec/Record/UTB_66440010340e2b3ab83f030a9baf2e84
Chen, K., Tan, C., y Tan, D. (2021). Inteligencia artificial y gestión de recursos humanos: Implicaciones para la práctica. MIT Sloan Management Review, 62(3), 71-78.
Chougule, M. S. A. (2022). Issues and prospects in the use of artificial intelligence in human resource management. International Journal of Advance Research and Innovation, 10(4). https://doi.org/10.51976/ijari.1042208
Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10(7), 1-9. https://doi.org/10.7275/JYJ1-4868
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. https://doi.org/10.1016/j.jbusres.2020.08.019
Dinara, Zhulamanova., Gaukhar, Niyetalina., E., Tankova., S., K., Iskendirova. (2022). Talent management as a tool for the formation of human capital. «Tu̇ran» Universitetìnìn̦ Habarsysy, 3, 212-222. https://doi.org/10.46914/1562-2959-2022-1-3-212-222
Ganatra, N. J., & Pandya, J. D. (2023). The transformative impact of artificial intelligence on hr practices and employee experience: A review. Journal of Management Research and Analysis, 10(2), 106-111. https://doi.org/10.18231/j.jmra.2023.018
García Herrera, J. L. (2020). Inteligencia artificial en las organizaciones [Tesis de maestría, Universidad Militar Nueva Granada]. http://repository.unimilitar.edu.co/handle/10654/36011
Gupta, A., & Mishra, M. (2022). Ethical Concerns While Using Artificial Intelligence in Recruitment of Employees. Business Ethics and Leadership, 6(2), 6-11. https://doi.org/10.21272/bel.6(2).6-11.2022
Jarrahi, M. H. (2018). Inteligencia artificial y el futuro del trabajo: Desafíos humanos y máquina. Revista Internacional de Gestión de la Información, 38(1), 58-73. https://doi.org/10.1016/j.ijinfomgt.2017.10.001
Johny, N., Pitaro, N. L., Vogel, B., & Mehran, R. (2023). Artificial intelligence -- advisory or adversary? Interventional Cardiology Review, 18. https://doi.org/10.15420/icr.2022.22
Kshetri, N. B. (2021). Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: Some preliminary evidence. Management Research Review, 44(7), 970-990. https://doi.org/10.1108/MRR-03-2020-0168
Pacanchique Quilaguy, N. C., & Rodriguez Olaya, R. C. (2021). El impacto de la inteligencia artificial en el trabajo [Tesis de pregrado, Universidad Libre]. http://repository.unilibre.edu.co/handle/10901/20588
Peña, R. M. (s. f.). ESCUELA ESPECIALIZADA EN INGENIERÍA ITCA-FEPADE.
Saini, F., Sharma, T., & Madan, S. (2022). A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future. Advanced Journal of Graduate Research, 11(1), Article 1. https://doi.org/10.21467/ajgr.11.1.10-22
Strohmeier, S., y Piazza, F. (2015). Visiones del futuro: El impacto de la inteligencia artificial en la gestión del talento. Revista Internacional de Gestión de Recursos Humanos, 26(14), 1741-1758. https://doi.org/10.1080/09585192.2015.1041761
Upadhyay, A. K., y Khandelwal, K. (2018). Aplicando la inteligencia artificial en la gestión del talento: Una revisión de la literatura actual. Revista Internacional de Investigación en Recursos Humanos, 8(2), 15-30
Villarreal Satama, F. L., & Flor Terán, G. A. (2023). Inteligencia Artificial: El reto contemporáneo de la gestión empresarial. Revista ComHumanitas, 14(1), 94-111.
Copyright (c) 2024 Dr. C. Ricardo Xavier Chávez Betancourt. PhD,Dr. C José Armando Estrada Hernández.PhD,MSc. Kleber Santos Guerra Herrera
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
