Publication Details
Abstract
The integration of Artificial Intelligence (AI) in talent acquisition and performance management is reshaping how organizations identify, select, and manage human capital. AI technologies, including machine learning algorithms, natural language processing, and predictive analytics, offer significant benefits in improving efficiency, reducing bias, and enhancing decision-making processes. In talent acquisition, AI streamlines recruitment by automating resume screening, enhancing candidate matching, and providing data-driven insights for more informed hiring decisions. Similarly, in performance management, AI enables continuous feedback, personalized development, and real-time performance analytics, thereby fostering greater alignment between individual contributions and organizational goals. Despite these advantages, the widespread adoption of AI in these areas raises concerns related to data privacy, algorithmic bias, and the potential erosion of human-centered management practices. This paper explores both the benefits and challenges associated with AI in talent acquisition and performance management, highlighting its transformative impact on organizational practices. It also discusses the ethical considerations and future directions for AI in these domains, emphasizing the need for transparency, fairness, and the balance between automation and human judgment. As AI continues to evolve, its role in talent management is poised to expand, offering organizations new opportunities for optimizing workforce strategy and enhancing employee engagement, while also presenting new challenges that must be addressed to ensure its responsible use.