AI-integrated risk governance in tourism and hospitality settings: advancing resilience through predictive and adaptive capabilities

This research note analyzes how artificial intelligence (AI) tools can improve risk management and crisis resilience in the tourism and hospitality industries. Grounded in complexity theory and organizational resilience theory, this research note outlines a conceptual framework for advanced AI risk governance. This framework comprises four integrated components (e.g. predictive surveillance, adaptive response, systemic learning, and resilience feedback loops). These components allow organizations to forecast risks, respond reasonably to them, and establish a regime of incessant organizational learning. This note seeks to initiate the transition from reactive crisis management to focus on learning through the proactive, purposeful integration of AI as a key partner in organizational decision-making. This note offers hospitality managers, destination planners, and policymakers’ valuable insights on organizational resilience and sectoral preparedness through ethically sound, data-enabled governance and integrated risk management systems.