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.
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
This paper explores resilience at the individual, team, organisational, and system levels, which are crucial for anticipating, absorbing, adapting to, and recovering from disruptions in complex environments, and concludes with a resilience framework emphasising human–machine teamwork, adaptive governance, cross-sector...
A multi-layered safety model that integrates emerging technologies with human-centred practices, emphasising resilience engineering, adaptive training, transparent AI governance, and continuous learning across transportation ecosystems is proposed, arguing that technological innovation must be framed not as a replaceme...
