IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMAN TALENT MANAGEMENT AND ORGANIZATIONAL SUSTAINABILITY: A SYSTEMATIC LITERATURE REVIEW

Amadeo Robles-Fabián D.; Nestor Espinoza-Paucar O.; Ricardo Calderon-Pizango M.; Michael Villamizar-Morales P.; Madeleine Silvera-Arcos S.; Diana Pedroza-San Miguel R.; Junior Balvin-Azaña R. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.730

Resumen

The objective of this systematic literature review was to examine how artificial intelligence (AI) impacts human talent management and its effect on organizational sustainability. The methodology employed was a systematic literature review, with the PRISMA method used for selecting and filtering studies. This allowed the analyzed studies to demonstrate that artificial intelligence contributes to optimizing human resource processes through the use of data analytics, automation, and decision support, leading to improvements in organizational performance and effectiveness. Furthermore, the review indicates that its proper application has the potential to strengthen sustainability in its economic, social, and environmental aspects. However, challenges related to ethical, cultural, and technical issues continue to restrict its effective implementation. This necessitates a more comprehensive and responsible approach.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Tecnológica del Perú; Universidad Privada del Norte