Aviation is a central enabler of global interconnectedness and economic growth, which increasingly is being threatened in crisis management by the increasing occurrence of extreme weather events, health pandemics, and security threats. The advent of Artificial Intelligence (AI) has become a game-changer in the efficiency of crisis management through the offering of real-time data analysis, predictive analysis, and decision-making. This paper discusses the application of AI in crisis management in the aviation sector while emphasizing the necessity of the reskilling and upskilling of aviation personnel to effectively leverage AI technologies. Based on a mixed-methods design, the study utilizes surveys and statistical tests to establish the effect of AI training on crisis response time, the effect of experience levels on AI adoption, and digital literacy’s effect on AI integration. The study finds that AI training decreases crisis response time, experienced personnel put more emphasis on AI, and digital literacy has a significant effect on AI adoption. The study, however, finds workforce adaptation challenges, ethical issues, and the necessity of standardized AI tools for diverse levels of experience. Based on the findings, the paper suggests such programs as systematic AI awareness, tailored training for diverse levels of experience, and mentorship programs to close the AI knowledge gap. The study substantiates the necessity of upskilling and reskilling in order to equip the aviation workforce for an AI-enabled world, to ultimately facilitate safety, efficiency, and crisis decision-making.

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AI in Crisis Management: Reskilling and Upskilling for the Aviation Industry

  • Venugopal Gupta,
  • Anand Bethapudi

摘要

Aviation is a central enabler of global interconnectedness and economic growth, which increasingly is being threatened in crisis management by the increasing occurrence of extreme weather events, health pandemics, and security threats. The advent of Artificial Intelligence (AI) has become a game-changer in the efficiency of crisis management through the offering of real-time data analysis, predictive analysis, and decision-making. This paper discusses the application of AI in crisis management in the aviation sector while emphasizing the necessity of the reskilling and upskilling of aviation personnel to effectively leverage AI technologies. Based on a mixed-methods design, the study utilizes surveys and statistical tests to establish the effect of AI training on crisis response time, the effect of experience levels on AI adoption, and digital literacy’s effect on AI integration. The study finds that AI training decreases crisis response time, experienced personnel put more emphasis on AI, and digital literacy has a significant effect on AI adoption. The study, however, finds workforce adaptation challenges, ethical issues, and the necessity of standardized AI tools for diverse levels of experience. Based on the findings, the paper suggests such programs as systematic AI awareness, tailored training for diverse levels of experience, and mentorship programs to close the AI knowledge gap. The study substantiates the necessity of upskilling and reskilling in order to equip the aviation workforce for an AI-enabled world, to ultimately facilitate safety, efficiency, and crisis decision-making.