Thesis Abstract

The rise of Artificial Intelligence (AI) is revolutionizing numerous sectors, including Human Resource Management (HRM). This research explores the transformative potential of AI in talent acquisition and development, analyzing its impact on practices, outcomes, and ethical considerations. Through a mixed-methods approach, the study investigates current AI applications in HRM, their effectiveness in talent acquisition and development, and the challenges and opportunities they present. The findings aim to provide insights for HR professionals navigating the integration of AI, fostering better talent management strategies, and ensuring ethical and responsible implementation.

Thesis Overview

The traditional landscape of Human Resource Management is undergoing a paradigm shift as Artificial Intelligence (AI) emerges as a powerful tool. From automating repetitive tasks to personalizing learning experiences, AI holds immense potential to transform talent acquisition, development, and overall workforce optimization. However, understanding its effectiveness, ethical considerations, and navigating its implementation complexities remain crucial questions for HR professionals.

This research addresses these uncertainties by delving into the transformative potential of AI in HRM. Through a comprehensive mixed-methods approach, the study investigates how AI is currently being utilized in talent acquisition and development, analyzes its impact on various outcomes, and identifies key challenges and opportunities. The findings aim to equip HR professionals with valuable insights, practical recommendations, and ethical considerations for integrating AI effectively and responsibly, ultimately fostering a more agile and adaptive workforce for the future.