Balancing Efficiency and Ethics: The Impact of AI-Driven Recruitment on Employee Satisfaction in the Tech Industry

Abstract

This dissertation investigates the integration of artificial intelligence (AI) in recruitment processes, focusing on its impact on employee satisfaction within Saudi Arabia’s technology sector. As AI becomes central to recruitment, particularly in data-driven tasks like resume screening and candidate assessments, it promises efficiencies but also raises ethical challenges, including concerns about algorithmic bias and privacy. This research examines how AI-driven tools in recruitment affect perceptions of fairness, transparency, and employee satisfaction, using a qualitative approach that incorporates interviews with employees and HR professionals in the tech industry. Findings highlight that while AI significantly streamlines recruitment, the depersonalisation of interactions and potential biases challenge its effectiveness, especially in contexts requiring cultural sensitivity. The study recommends a balanced approach that combines AI-driven efficiencies with human oversight to enhance employee satisfaction and ensure ethical recruitment practices. These insights contribute to the broader discourse on AI in human resource management and offer actionable strategies for ethical AI implementation in recruitment.