Human-Centered AI for Strategic Talent Management: Balancing Technological Advancement And Human Dignity

Abstract

This study seeks to establish a paradigm integrating artificial intelligence with human values in talent management via a comprehensive literature review methodology. The research technique employs the PRISMA framework, analyzing 478 articles from the Web of Science, Scopus, and IEEE Xplore databases (2019-2024). The study's findings demonstrate the beneficial effects of human-centered AI on talent retention, employee engagement, and organizational productivity. The implementation framework comprises three primary components: collaborative decision-making protocols, adaptive learning mechanisms, and human oversight systems. The suggested system for safeguarding human dignity encompasses automated detection of dignity violations, real-time response methods, and systematic impact assessments. Continuous evaluation reveals an improvement in the speed of early detection and the effectiveness of interventions. This paper proposes an AI implementation model that integrates the human aspect of talent management and provides an empirical basis for future research.