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PRODID:Linklings LLC
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TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
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TZOFFSETFROM:-0700
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240912T173000
DTEND;TZID=America/Phoenix:20240912T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess108_POS170@linklings.com
SUMMARY:93. On Enhancing General Aviation Safety:  The Integration of Gene
 rative AI in Preflight Weather Planning
DESCRIPTION:Poster\n\nStephen Woods and Elizabeth Blickensderfer (Embry-Ri
 ddle Aeronautical University)\n\nArtificial Intelligence (AI) permeates da
 ily life and industries through enhanced machine learning, natural languag
 e processing, and computer vision. Generative AI, a significant advancemen
 t, mimics human-like text and makes data-driven decisions, particularly in
  generative AI applications. Exploring novel AI applications is crucial, s
 uch as leveraging generative AI to aid General Aviation (GA) pilots in pre
 flight weather planning, with the aim to enhance pilots' awareness and red
 uce weather-related accidents. \nHowever, the rapid evolution of generativ
 e AI raises many concerns like volatility, security risks, and decision-ma
 king biases. Preflight weather planning is vital in aviation, with weather
 -related incidents comprising a significant portion of accidents. Despite 
 advancements, pilots' interpretation of weather forecasts remains subpar. 
 This paper examines how generative AI, particularly ChatGPT, can improve p
 reflight weather planning, while also addressing risks and suggesting ethi
 cal research directions.\n\nTrack: Aging, Augmented Cognition, Children's 
 Issues, Communications, Cybersecurity, Education, Environmental Design, Ge
 neral Sessions, Human AI Robot Teaming (AI), Macroergonomics, Occupational
  Ergonomics, Student Forum, Surface Transportation, Sustainability, System
  Development
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