Artificial Intelligence in Recruitment and Selection: Questioning Implications
The rapid evolution of the human resources field has not gone unnoticed. Artificial Intelligence (AI) and Machine Learning (ML) have gained unprecedented popularity in today’s business landscape, with many organizations already automating various processes through these technologies. This research e...
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| Format: | masterThesis |
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2025
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| Online Access: | http://hdl.handle.net/10725/17318 https://doi.org/10.26756/th.2023.843 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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| Summary: | The rapid evolution of the human resources field has not gone unnoticed. Artificial Intelligence (AI) and Machine Learning (ML) have gained unprecedented popularity in today’s business landscape, with many organizations already automating various processes through these technologies. This research explores the more unsettling aspects of AI and ML by critically examining their ethical implications. Specifically, we question the adequacy of existing ethical guidelines, the neutrality and potential biases in AI-driven decision-making, and the human response to the integration of AI/ML into the workplace. We delve into the consequences of these issues and review the current literature relevant to our areas of focus. The originality of this paper lies in its effort to provide a comprehensive understanding of the risks and rewards associated with the implementation of AI/ML in organizational settings. We aim to achieve this by asking the difficult and often uncomfortable questions, while scrutinizing the limitations and complexities of these technologies. |
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