The paper proposes an integrated FRMS-AI governance model tailored to the future of human-AI teaming, which incorporates predictive fatigue analytics, adaptive automation strategies, human-machine workload harmonisation, and AI-specific fatigue indicators within FRMS oversight.
The paper argues that SMS frameworks must evolve beyond compliance-driven practices to embrace dynamic, data-rich safety monitoring capable of detecting emergent patterns of human–AI interaction, and proposes a strengthened SMS framework tailored to human–AI teaming.
Resilience has become a central concept in contemporary aviation safety, reflecting the industry’s need to manage complexity, uncertainty, and unexpected disturbances across increasingly automated and dynamic operational environments. While flight operations depend on the capacity of individuals, teams, and organisatio...
Ibrahim Sarikaya, Dimitrios Ziakkas, Eleftherios Bokas et al.· AHFE International· 0 citations
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