Balancing Automation and Human Expertise: A Comprehensive Approach to the Future of Air Safety
The future of air safety relies on a holistic approach that integrates advanced technologies, human factors, and comprehensive training programs. This paper examines the critical components of aviation safety, including the development of intelligible software, the importance of robust training, and the irreplaceable role of human intervention in complex and high-risk scenarios. Through the analysis of key incidents, such as the Boeing 737 MAX and Air France Flight 447, the study highlights the challenges and opportunities presented by automation and artificial intelligence (AI) in aviation. It emphasizes the need for a balanced approach where technology supports rather than replaces human expertise, underscoring the value of human judgment, adaptability, and decision-making under pressure. The findings suggest that by fostering a collaborative environment where humans and machines work together, the aviation industry can achieve enhanced safety and efficiency. This research calls for continued investment in both technological advancements and human-centered training strategies to create a more resilient and adaptable aviation safety framework.
Institutions
- Everglades University (US)
- Technical Database Services (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-17
- DOI
- https://doi.org/10.5281/zenodo.15685328
- Primary Topic
- Imbalanced Data Classification Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00