Experiencias y hallazgos en la integración de sistemas de Inteligencia Artificial en psicología organizacional

Abstract

Objective: This study addresses the processes of Integration of Artificial Intelligence (AI) systems in organizational psychology in addition to identifying some current experiences and findings after its use. Methodology: Through a bibliographic review, technological advances and their effects on the recruitment and retention of talent are analyzed, delving into the use of predictive algorithms and digital platforms in person-position fit, with an analytical approach based, reviewing recent research and case studies in organizational environments that implement AI. Results and Discussion: The findings demonstrate that AI improves accuracy and objectivity in personnel selection; however, ethical challenges persist, such as the need for human supervision to avoid algorithmic bias and promote equity. Conclusion: It is concluded that, despite its benefits in organizational psychology, the implementation of AI must be continuously evaluated to balance efficiency with ethical responsibility, thus ensuring fair and sustainable decisions in human resources. Contribution: The relevance of this topic lies in AI's ability to transform recruitment processes, optimizing time and resources and minimizing subjective biases, with a significant impact on efficiency and job satisfaction.