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Resumo(s)
This study examines Artificial Intelligence (AI) in Crisis Management (CM), particularly in
crisis detection, decision-making, strategy implementation, and learning. Using quantitative
interviews and a systematic literature review, it assesses AI's effectiveness in CM under
extreme conditions and its autonomy levels. The findings suggest AI's limited efficacy in severe
crises, its varied potential in CM phases, and mixed results at the operational level. Although
some AI applications are effective, human intervention remains crucial in crisis contexts. The
research highlights the need for further exploration of AI's limitations, including data biases
and the challenges of mimicking human interactions.
Descrição
Palavras-chave
Ai Crisis management Early detection Prevention Business resilience Preparation
