Ethical Considerations in the Implementation of Artificial Intelligence in Recruitment Processes

The thesis explores the ethical implications of using artificial intelligence (AI) in recruitment processes. Against the backdrop of increasing digitalization and automation in HR practices, it investigates how algorithmic tools are perceived by job applicants and what ethical challenges their implementation entails. The study is based on a case study of the Future Mindset Board recruitment program at Česká spořitelna, where AI was employed as a supportive tool in the selection process. Using a two-phase qualitative research design, the thesis analyzes the perspectives of young candidates from Generation Z and complements these insights with interviews conducted with employees who successfully secured positions as bankers. The collected data reveal that key ethical concerns revolve around the transparency of algorithmic decision-making, the preservation of a human-centered approach, equal opportunity, and trust in the system. Candidates for positions in the banking sector do not view AI as inherently problematic, however, their attitudes are strongly shaped by the level of information provided, the way AI is communicated, and the presence of human involvement in decision-making processes in recruitment. The thesis offers recommendations for the ethically responsible implementation of AI in recruitment and contributes to the broader discussion on the humanization of artificial intelligence technologies in human resources.