ORCID Identifier(s)


Document Type

Honors Thesis


In recent years, the use of artificial intelligence (AI) in the recruitment process has seen a significant increase, with many companies relying on third-party vendors to streamline their efforts. While AI has numerous advantages such as improving efficiency, reducing costs, and identifying the most qualified candidates, there are concerns about algorithmic bias and unfair treatment. Possible causes of these issues include insufficient training, improper technology use, and inadequate parameter specifications. The study examines the sentiment surrounding AI hiring over the last decade and determines whether advancements in technology and a better understanding of AI have made it mature enough to recruit without bias. As a result of a literature review and sentiment analysis, the aim is to provide insight into the overall perception of artificial intelligence in recruitment from the public's perspective, both academically and non-academically. Recruitment is a critical aspect of organizational success, and with AI increasingly utilized by HR managers and recruitment companies, this research could potentially lead to more inclusive and fair recruitment processes.

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