Artificial intelligence in enhancing human talent and knowledge management in organizations: a systematic review in Scopus

López-Urbina J.C. · Revista Cientifica de Sistemas e Informatica (2025) · DOI: 10.51252/rcsi.v5i1.889

Resumen

This study analyzes the application of artificial intelligence (AI) in talent management and organizational knowledge through a systematic review of 50 scientific articles indexed in Scopus. A documentary review methodology was employed, with selection criteria based on relevance and recent contributions. The main AI applications identified include the optimization of administrative processes, the personalization of training programs, and data-driven strategic decision-making. Key approaches analyzed include machine learning, data mining, and expert systems, which have improved performance evaluation, personnel selection, and knowledge management. The results indicate that AI has increased efficiency in talent management, though challenges persist, such as data quality, organizational resistance, and biases in selection algorithms. The study concludes that AI adoption in human resources continues to grow, promoting more adaptive management models. However, it is essential to address its limitations through regulatory frameworks and oversight strategies to ensure an ethical, fair, and goal-aligned implementation within organizations. © The authors.

Instituciones: Universidad César Vallejo