Is this project an undergraduate, graduate, or faculty project?
Graduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Aarohi Srivastava, Graduate Student Hunter Ackermann, Senior
Lead Presenter's Name
Aarohi Srivastava
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Briana Sobel
Abstract
In the aviation industry, the incorporation of automation has caused a shift in humans’ roles from operators to observers. The increasing use of artificial intelligence (AI) in this field marks another significant shift from simply using it as an informative tool to using it as an active partner in flight operations. To increase safety and efficiency, studying human-AI interaction provides critical insight on how to optimize the relationship between dynamic team members. This paper discusses the current literature on incorporating AI as a teammate in aviation. A literature review of relevant topics was conducted and analyzed for common themes. Results show current trends in attitudes toward and uses of AI in aviation, descriptions of potential benefits and dangers, as well as directions for future research.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Examining the implications of incorporating AI as a teammate in aviation: trends, challenges, and future directions
In the aviation industry, the incorporation of automation has caused a shift in humans’ roles from operators to observers. The increasing use of artificial intelligence (AI) in this field marks another significant shift from simply using it as an informative tool to using it as an active partner in flight operations. To increase safety and efficiency, studying human-AI interaction provides critical insight on how to optimize the relationship between dynamic team members. This paper discusses the current literature on incorporating AI as a teammate in aviation. A literature review of relevant topics was conducted and analyzed for common themes. Results show current trends in attitudes toward and uses of AI in aviation, descriptions of potential benefits and dangers, as well as directions for future research.