Artifical Interligence in Crisis Mangement: potential Solutions and challenges

This article explores the potential solutions as well as challenges of AI-driven tools for crisis management. AI application in crisis management presents ethical, technical, ecological, and legal challenges, including biases, transparency, carbon footprint, and regulatory inadequacies, requiring robust frameworks and structures to ensure a sustainable, fair and responsible transfer in societal contexts. By drawing on examples from the ROADS to Health project and fundamental principles of crisis management, the paper advocates for a human-centered approach that places prioritization on user needs, cross sectional collaboration, and cultural sensitivity. The perspective of the evolution and further development of a tool stemming from the ROADS to Health project provides an illustration of how to bridge the challenges and facilitate targeted and comprehensive control measures in crisis scenarios. The proposed approach seeks to harness and maximize the potential of AI while ensuring and safeguarding its ethical integrity and effectiveness in supporting crisis management efforts.