Artificial Intelligence in Human Talent processes in the Financial Sector: Systematic review La Inteligencia Artificial en los procesos de Talento Humano en el Sector Financiero: Revisión sistemática

Abstract

This article addresses artificial intelligence (AI) in the Human Talent processes of the financial sector; analyzing the benefits, challenges and concerns that these models generate when implemented in the processes of the human talent department and specifically in the financial sector, such as improvement in operational efficiency, reduction of services in recruitment and personalization of training. The PRISMA methodology was used, articles published in existing indexed journals of the last 3 years were selected, which explore the tools and techniques used in the selection and training of employees, for the search of the articles, specialized databases were used. The results obtained indicate that artificial intelligence significantly improves efficiency through the use of analysis algorithms that reach the prediction and effectiveness of all processes. In turn, these tools allow the creation of personalized and easily adaptable learning programs that captivate the interest of each employee seeking to achieve their goals and objectives that lead to the success of the organization and the implementation of interactive simulations that enrich the learning experience. However, challenges related to data privacy and the risk of algorithmic biases affecting fairness in human talent processes in the financial sector were identified, leading organizations to be cautious when using and implementing this tool in their processes in the area of human talent in the financial sector.