Incorporating Human Dynamics and Intelligent, Autonomous AI Systems for Public Safety, Defence, and Disaster Management

Advances in artificial intelligence, autonomous systems, and large‑scale data analytics are reshaping the landscape of intelligence in the general context of security, public safety, defence and disaster management. These are important for improving resilience, responsiveness, and decision-making in critical infrastructures and other high‑stakes environments.

Effectively managing such situations requires more than technological innovation. It involves appreciating human factors dependencies and integrating human behaviour, social dynamics, training and education, ethical considerations, and decision-making processes with autonomous AI-driven sensing, prediction, coordination, and intervention.

For this Topic, we invite high-quality submissions that explore how human dynamics and autonomous AI systems can jointly enhance the preparedness, response, recovery, and resilience of communities and critical infrastructures—facing natural or man‑made disasters.

We particularly welcome interdisciplinary contributions bridging AI, robotics, human–machine teaming, computational social science, education, emergency management, ethics, policy, human and organisational behaviour.

Topics of Interest

• Human–AI Teaming and Behaviour Modelling
• Human Dynamics and Human Factors’ Dependencies in Disaster Management
• Autonomous and Intelligent Systems
• Data, Infrastructure, and Digital Ecosystems
• Public Safety and Disaster Management
• Defence and Security Applications
• Responsible and Trustworthy Technologies: Ethics, Governance, Education and Training, Policy, and Societal Implications
• Cybersecurity of Autonomous AI Agents in Critical Environments
• AI-Enabled Cyber Defence and the Human–AI Cyber Battlefield

Prof. Dr. Nik Bessis
Prof. Dr. Marcello Trovati
Prof. Dr. Kevin Curran
Dr. Eleana Asimakopoulou
Topic Editors