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 overlooking this alignment risks creating workforces that are operationally certified but cognitively unprepared for high-automation environments, and proposes a workforce planning model designed to support large-scale adoption of human–AI teaming in transportation.
Dimitrios Ziakkas, Ibrahim Sarikaya, Konstantinos Pechlivanis et al.· AHFE International· 0 citations
It is argued that training for human–AI teaming must remain fundamentally human-centric, preserving pilots’ adaptive expertise, situational awareness, and critical thinking while ensuring that AI systems remain compatible with human cognitive strengths and limitations.
Dimitrios Ziakkas, Ibrahim Sarikaya, Debra Henneberry· AHFE International· 0 citations
A case study of Turkish Airlines, examining how one of the world’s largest network carriers has approached the integration of human–AI teaming across flight operations, training systems, and organisational decision structures, demonstrates that successful human–AI teaming in aviation is not driven by technology alone,...
Ibrahim Sarikaya, Dimitrios Ziakkas, Fatih Rustu Altunok· AHFE International· 0 citations
Resilience has become a defining attribute of effective military organisations, particularly within aviation domains where uncertainty, operational tempo, and mission-critical decision-making place continuous cognitive and organisational demands on personnel. This paper examines the role of resilience in military aviat...
Ioanna K. Lekea, Dimitrios Ziakkas, D. Stamatelos et al.· AHFE International· 0 citations
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
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...
