Human–AI Teaming in the Cockpit: From Theory to Practice—Views from the Flightdeck

Crew Resource Management (CRM) in aviation is grounded in principles derived from human–human teamwork, such as the Big Five model of Teamwork (B5T). With the advent of AI-based systems, which could one day take on increasingly complex roles in the cockpit, it remains unclear whether these principles will remain applicable or risk becoming outdated. This study examines how human teamwork concepts translate to use-case-based human–AI collaboration. Five contemporary aviation human–AI teaming use cases are examined by two groups (four Human Factors experts and four professional pilots who are also CRM experts) using B5T and CRM as frameworks. Although the two expert groups are small and are reviewing use cases rather than observing actual pilot behaviour, these early findings suggest that teamwork (B5T) elements and CRM core competencies can be useful for identifying potential positive and negative impacts of AI-based systems on human teamworking, and hence operational risk. Candidate augmentations to B5T are identified to increase its adaptation to human–AI teaming system assessment, and preliminary new CRM training avenues are proposed to enable pilots to better accommodate future AI assistance in the cockpit.

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Publication Details

Journal
Aerospace
Published
2026-09-29
DOI
https://doi.org/10.3390/aerospace13100878
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Human–AI Teaming in the Cockpit: From Theory to Practice—Views from the Flightdeck

Barry Kirwan, Rolf Zon, Jeroen van Rooij, Esther Kox
Aerospace
Human-Automation Interaction and Safety
article

Human–AI Teaming in the Cockpit: From Theory to Practice—Views from the Flightdeck

Barry Kirwan, Rolf Zon, Jeroen van Rooij, Esther Kox
article en

Abstract

Crew Resource Management (CRM) in aviation is grounded in principles derived from human–human teamwork, such as the Big Five model of Teamwork (B5T). With the advent of AI-based systems, which could one day take on increasingly complex roles in the cockpit, it remains unclear whether these principles will remain applicable or risk becoming outdated. This study examines how human teamwork concepts translate to use-case-based human–AI collaboration. Five contemporary aviation human–AI teaming use cases are examined by two groups (four Human Factors experts and four professional pilots who are also CRM experts) using B5T and CRM as frameworks. Although the two expert groups are small and are reviewing use cases rather than observing actual pilot behaviour, these early findings suggest that teamwork (B5T) elements and CRM core competencies can be useful for identifying potential positive and negative impacts of AI-based systems on human teamworking, and hence operational risk. Candidate augmentations to B5T are identified to increase its adaptation to human–AI teaming system assessment, and preliminary new CRM training avenues are proposed to enable pilots to better accommodate future AI assistance in the cockpit.

AerospaceVol. 13(10)
Netherlands Aerospace Centre (NL)
Openalex Percentile: Top 7%
Human-Automation Interaction and Safety
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Human–AI Teaming in the Cockpit: From Theory to Practice—Views from the Flightdeck — Barry Kirwan, Rolf Zon, et al. · Aerospace (2026) | TGRS Research Map | TGRS