Implementation of Human - AI teaming in the Single Pilot Operations Era.

Abstract

Human–AI teaming emerges as the defining paradigm for Single Pilot Operations (SiPO), challenging aviation's foundational assumptions about cockpit redundancy, expertise, and training. This paper synthesises three complementary analyses: (1) historical decrewing patterns establishing phased implementation imperatives; (2) empirical validation of prompt engineering as a core Human–AI interaction competency improving task success by 64% in SiPO scenarios (Pechlivanis & Ziakkas, 2026b); and (3) a human-centred framework mapping SiPO competencies to observable SiPODigiComp behaviours across Professional Standards, Situational Awareness, Communication, Leadership, and Workload Management. Replacing social redundancy with algorithmic support demands interaction-centred training beyond traditional CRM/EBT/CBTA paradigms. Key challenges include trust calibration, AI interpretability, cognitive resilience, Human–AI communication, and ethical judgement under reduced social feedback. Scenario-based simulation incorporating validated prompt patterns (instructional, scenario-based) emerges as critical for developing adaptive expertise. Regulatory frameworks must mandate systematic workload validation and phased certification mirroring successful historical transitions. SiPO success hinges not on AI sophistication, but human-centred design preserving pilot authority as final moral agent within resilient Human–AI teams.

Keywords: Human–AI Teaming, Single Pilot Operations (SiPO), human–AI Teaming, Adaptive Automation, AI Copilot, Pilot Competencies, Explainable AI (XAI), Cognitive Workload

DOI: 10.54941/ahfe1007832