Converging human and algorithmic biases in the hiring decision-making process

The intersection of human expertise and cutting-edge Artificial Intelligence (AI) marks the beginning of a new era in intelligent and efficient hiring systems. However, each also introduces specific prejudices from both humans and algorithms, leading to systemic flaws and inaccuracies. This narrative review explores the intersection between human and algorithmic biases within AI-empowered hiring systems, highlighting their impacts and the urgent need for solutions. The aim of this research is to build a foundational knowledge base by examining how these biases manifest and their consequences, that could drive the field towards a more equitable and efficient hiring process, free from biases and discrimination.