The purpose of this study was to empirically examine the relationship between smart
recruitment, predictive hiring algorithms, and the data-driven nature of artificial intelligence. …

… sufficient knowledge of smart technologies. Alternatively, they would end up recruiting a
low or … The algorithms were restricted to using only labelled data that the analysts specify in …

… Instead of traditional hiring, which relies on six second resume screens … hiring relies on
richer sets of data and smart algorithms to recommend best fit candidates to recruiters and hiring …

… recruitment system, is a technological solution that uses advanced machine learning algorithms
and natural language processing to automate various tasks related to the hiring process. …

… In examining the development of algorithmic inclusion in AI-supported hiring, this section
focuses on three areas: data, design and decisions. Although these are intertwined, by …

… In the following, we introduce some algorithmic decision tools used in HR recruitment and HR
… Hiring platforms, such as Xing and LinkedIn, already implement predictive analytics. Their …

… recruitment process has become increasingly common and growing day by day: automated
smart … significantly to reducing the hiring cost and improving the quality of recruitment as well. …

… Second, it evaluates four types of algorithmic impact … hiring algorithms. It determines which
of the assessments can help companies audit their hiring algorithms and close the algorithmic …

… This paper proposes a smart recruitment system (SRS) … To abstract the significant data for
hiring process using natural language … For which, we are using an algorithm called name entity …

… candidates, and efficiently screening and hiring new applicants. It enables employees to …
implementation of a Smart Recruitment System. This system leverages AI algorithms to analyze …