Abstract
Pilot error is a leading cause of aviation accidents, accounting for 60-80% of incidents due to factors such as cognitive overload, fatigue, automation dependency, and communication failures. This paper examines how human limitations affect flight safety and explores the role of training, crew resource management (CRM), and decision-making processes in reducing errors. Automation has improved aviation but has also led to overreliance and reduced manual flying skills. Effective fatigue management, situational awareness training, and safety culture enhancement are critical for mitigating risks. By integrating technological advancements with human-cantered training, aviation safety can be significantly improved. Understanding pilot behaviour and implementing predictive risk assessment models will be key to reducing aviation accidents. This study concluded that Effective crew resource management (CRM), improved fatigue mitigation strategies, and enhanced human-machine interaction are essential for reducing pilot-related errors. This study also recommended that utilization of AI-driven analytics helps to assess flight risk factors in real-time and provide pilots with early warnings for potential human errors.