In recent discussions, it has become clear that the primary reasons companies adopt or avoid AI in recruitment revolve around the concepts of objectivity and fairness. As organizations strive to create more equitable hiring processes, AI presents both opportunities and challenges in achieving these goals. The potential for AI to reduce human bias is compelling, yet concerns about transparency and accountability remain significant. On one hand, AI can analyze vast amounts of data to identify the best candidates based on objective criteria, potentially leading to a more diverse workforce.