Future AI in crisis management: Proposing a bio-inspired neuro-symbolic architecture



situation awareness, sensemaking, neuro-symbolic AI, neurosciences


This paper addresses the evolving relationship between Artificial Intelligence (AI) and crisis management, spanning over a decade. Initially sparked by social sciences’ interest and facilitated by abundant data, particularly from social media, the collaboration between these fields has streamlined decision-making processes. However, the distinctive, uncertain nature of crises presents challenges in adapting AI to varying contexts. In exploring existing frameworks like Common Operational Picture (COP), Situational Awareness (SA), and Sensemaking, the paper finds a potential misalignment between recent AI architectures, predominantly symbolic or neural, and these established frameworks. To bridge this gap, the paper proposes a bio-inspired neuro-symbolic AI architecture, emphasizing its application at the Sensemaking level during crisis data exploitation. Leveraging insights from neurosciences advancements, the paper aims to enhance the adaptability and effectiveness of AI systems in crisis situations


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How to Cite

Montarnal, A., Bénaben, F., Grace, R., Borst, G., & Gaborit, P. (2024). Future AI in crisis management: Proposing a bio-inspired neuro-symbolic architecture. ISCRAM Proceedings, 21. https://ojs.iscram.org/index.php/Proceedings/article/view/103

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