Open Access

Hassan Abumery

• Employers must have the necessary tools to engage in the fight for talent, which is growing increasingly competitive. The rising competitiveness of the recruiting industry today has further driven the development of the recruitment process, resulting in the introduction of artificial intelligence (AI) techniques. In this thesis, a literature review of current applications of AI in recruitment is conducted to better understand AI’s present strengths and limitations as well as its future potential. In particular, this thesis attempts to clarify, from a recruitment strategy perspective, how AI can be used to improve recruitment and facilitate recruiters’ daily work, with a focus on which guidelines should be in place to achieve these goals. The results reveal a significant gap between the promise and current reality of AI applications in human resources. However, with a few adjustments and cautious implementation, AI can indeed provide recruiters with promising solutions primarily by taking over tasks such as sourcing, screening and possibly even interviewing applicants through video screening. This has the potential to improve the quality of hiring and eliminate bias in recruitment. The thesis also finds that, at present, a fully automated process without any supervision from recruiters is unrealistic, at least in the final stages of the decision-making process, due to the ongoing and crucial need for a human touch and the currently foreseen negative cultural reaction to AI in its present limited form.