Submitting Campus
Worldwide
Department
Aeronautics
Document Type
Presentation without Video
Publication/Presentation Date
Fall 11-4-2025
Abstract/Description
As AI reshapes operations across aviation and aerospace, organizations are investing in ways to preserve data integrity, safeguard proprietary knowledge, and uphold critical professional competencies. This presentation shares emerging findings from a study that surveys and interviews industry professionals about their use of AI tools, their concerns about misuse, and the importance of secure, enterprise-controlled “walled garden” environments. The work explores how employers define appropriate, effective, and innovative AI adoption, particularly in roles requiring high-stakes decision-making, compliance, and technical acumen.
By analyzing organizational expectations around AI-related knowledge, skills, and abilities (KSAs), this research offers practical guidance for academic programs seeking to prepare students and early-career professionals for evolving operational realities. Connections will be made to recent research on AI in education, with implications for updating curricula, reinforcing ethical use frameworks, and fostering closer collaboration between academia and industry. This session supports the summit’s theme by highlighting how we can collectively pioneer the future of AI across technical domains in aviation and aerospace.
Sponsorship/Conference/Institution
Aviation and Aerospace Artificial Intelligence Summit 2025 (AI Summit 2025), Embry-Riddle Aeronautical University
Location
Daytona Beach, FL
Grant or Award Name
This research was partially supported by the Embry-Riddle Aeronautical University Faculty Research Development Program; in relation to the Transforming Online Education: Integrating AI-Enhanced Tools for Personalized Learning and Dynamic Content Delivery project. The collaboration that led to the publication and presentation of this work received support from the Embry-Riddle Aeronautical University–Worldwide Research Scholars Program (supported by NSF #2315560).
Scholarly Commons Citation
Terwilliger, B. A., & Faraca, J. (2025). Preparing Tomorrow’s Professionals: Industry-Informed AI Integration. , (). Retrieved from https://commons.erau.edu/publication/2446