A Literature Survey on Artificial intelligence and understanding Transparency and Safety Measures

Abstract

Transparency and safety measures in Human Resource (HR) management are crucial for promoting fairness, trust, and ethical choices within organizations. Traditional HR practices often lack clarity in hiring, performance reviews, and pay processes, which leads to employee dissatisfaction and mistrust. While online and AI-driven HR systems have improved efficiency, they have also raised issues around transparency, accountability, data privacy, and bias. This literature survey looks at current studies on transparency and safety mechanisms in HR management systems. It examines various methods used in HR processes, points out their approaches and weaknesses, and shows the need for a transparent and secure HR management system.The findings stress the significance of clear decision-making, data protection, and accountability in today's HR platforms.