Advancing Aviation Safety Through In-Time Safety Management, Resilience, and Learning from All Operations

Abstract

Reactive, accident-oriented safety management can no longer keep pace with the complexity and tempo of modern air operations. This position paper advocates advancing aviation safety by fusing three complementary developments. First, an In-Time Aviation Safety Management System (IASMS) brings predictive analytics and real-time data fusion to the flight deck, shifting risk control from retrospective analysis to live mitigation. Second, Resilience establishes the conceptual and practical foundation for crews, organizations, and technologies to adapt gracefully when novel challenges arise, preventing escalation. Third, a Learning from All Operations (LFAO) philosophy systematically mines routine flight data, voluntary reports, and observational audits to drive continuous improvement in training, procedures, and algorithms. Together, these elements recast pilots as active partners in safety creation rather than a residual source of error, combine machine intelligence with human expertise, and form a closed loop in which operations both inform and benefit from safety interventions. The paper offers implementation steps centered on data governance, human-machine interface design, cultural adaptations, regulatory actions, and resilience training to implement this architecture within commercial air transport.