Artificial Intelligence: Our Future Recruiter? Exploring the Impact of Artificial Intelligence on Rational and Irrational Decision-Making in Selection Processes: An Analysis Through Sci-Fi Novels

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2024-08-13
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en
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The rapid technological advancement of Artificial Intelligence (AI) brings several advantages and disadvantages. More and more organizations are adopting AI within their day-to-day operations. This thesis explores how the evolving role of AI might impact rational and irrational decisions made during the selection process of possible future employees in organizations. Through a qualitative thematic content analysis, this research examines the prospects of future decision-making by AI in the form of a multiple case study. The cases in this research are three different sci-fi novels: "The Employees" by Olga Ravn, "Machines Like Me" by Ian McEwan, and "The Circle" by Dave Eggers. The findings suggest that although the integration of AI facilitates selection processes, it is characterized by some potential complications and irrational outcomes, particularly when integrated with human-like traits. AI could be used to improve the objectivity and speed in decision-making by AI; however, it is subject to risks related to algorithmic bias and other ethical issues. What the future regarding AI and selection processes will bring is still unsure, this study attempts to create a view of what this future might look like. Humankind stands in front of a choice of using AI as a tool to make decisions more efficiently and objectively, or place AI into the decision-maker’s seat. Practical implications revolve around the monitoring of AI systems and increasing awareness among employees through training and development initiatives regarding AI. Furthermore, this research adds to existing literature in the fields of artificial intelligence, human resources, and decision-making. It emphasizes technological growth and ethical considerations needed to consider during the Fifth Industrial Revolution.
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Faculteit der Managementwetenschappen