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AI in recruiting is used more and more in recruiting and for the evaluation of job interviews. Research has focused mainly on companies' side of AI implementation in recruiting. However, changes in demographics also make it important to look at it from the viewpoint of candidates. This thesis aims to explain how the perception of AI-evaluated job interviews influences the intention to apply. A survey is used as a data collection method with a sample of 105 participants. The results revealed that the perception of AI-evaluated job interviews positively influences the intention to apply in terms of organizational attractiveness, while anxiety negatively influences the intention to apply. However, in general, the positive effect is stronger. Other factors such as trust, fairness, intrinsic motivation, and novelty have no significant effect on the intention to apply.
The presented thesis studies Artificial Intelligence-based tools which are currently used in recruiting. The guiding research questions ask which ethical implications exist when using different so-called robot recruiting tools, and how these implications apply to the German healthcare sector. The analysis is based on a comprehensive literature review. First, an overview over eight different tools is given, then they are analyzed regarding their ethical implications. Finally, the practical example of the healthcare sector in Germany is discussed. The eight tools are considered in regard to the specific need of larger hospitals. The thesis shows that when applying artificial intelligence-based tools, severe ethical concerns, mostly on the questions of non-discrimination, data security and integrity of an organization, can arise. Because of that, the thesis recommends that human resource managers should be very careful when applying Artificial Intelligence-based tools.