O Uso de inteligência artificial nos processos de recrutamento e seleção

Abstract

This paper analyzes the use of Artificial Intelligence (AI) in recruitment and selection processes, focusing on the company TDM (Everyday Better) Transportes. The objective is to investigate how AI can improve efficiency, accuracy, and impartiality in its processes. Therefore, a detailed case study was conducted on the company's current practices, using the SWOT (Strengths, Weaknesses, Opportunities, and Threats) and GUT (Gravity, Urgency, and Trend) tools to identify critical factors. The methodology includes a theoretical analysis on human resource management and the role of AI, complemented by the case study. The results show that AI contributes to optimizing hiring time and reducing bias in selection. However, challenges were observed, such as resistance to the adoption of automated technologies and issues related to data security. The study concludes with recommendations for the strategic application of AI in the recruitment and selection processes of TDM Transportes, highlighting how this technology can strengthen the company's competitiveness and promote more efficient talent management, aligned with technological innovations.