EXPLORING THE SYNERGY BETWEEN AI AND HUMAN DECISION-MAKING TO BOOST EMPLOYEE PERFORMANCE

Abstract

This conceptual paper explores the integration of Artificial Intelligence (AI) tools, human decision-making processes, and trust in AI tools as key factors influencing employee performance. Grounded in Socio-Technical Systems Theory (STS), this study emphasizes the interplay between technical (AI tools) and social (human decision-making) components within organizations. Specifically, AI tools enhance productivity by automating tasks and generating actionable insights, while human decision-making ensures ethical oversight and contextual understanding. Furthermore, trust in AI tools is identified as a mediating factor critical to fostering collaboration and acceptance of AI tools. Thus, this paper underscores the importance of user-centric AI design, continuous employee training, and fostering a collaborative culture to optimize AI integration. By emphasizing a balanced socio-technical approach, the proposed framework highlights that organizations can maximize the potential of AI while preserving a human-centered workplace. Ultimately, this approach not only enhances employee performance but also promotes sustainable organizational growth in the evolving AI-driven landscape.