The aim of the work:
The general aim of this thesis is to show what biases are connected to hiring algorithms. On the other hand, the thesis also studies how transparency can influence ethical issues related to using these algorithms.
Work progress and methods used:
The research part of this thesis will be devoted to exploring the fairness of hiring algorithms. It will focus on identifying potential biases in these algorithms. Additionally, it will scrutinize the level of transparency these algorithms maintain throughout the recruitment process. This investigation will be conducted through a metastudy, analyzing existing research, literature, and case studies. The research will also include evaluations of various hiring algorithms to understand their decision-making processes. In the conclusion, the findings from the research will be synthesized to assess the extent of bias and lack of transparency in hiring algorithms. Recommendations for improving fairness and transparency in these systems will also be presented.