Now, a research team led by Cranfield University is addressing the challenge of balancing the advantages of automation with the need to ensure safety, fairness and its ethical use by developing a structured AI decision-making framework. "Bringing AI into disaster response is not just about creating smarter algorithms," said Argyrios Zolotas, Professor of Autonomous Systems & Control at Cranfield University. The structured AI framework, proposed in this study, demonstrated a 60% greater stability in consistently accurate decisions across multiple scenarios, providing more predictable outcomes than systems that rely on human judgment. The proposed framework could pave the way for more responsible and effective AI in real-world emergencies. More information: Julian Gerald Dcruz et al, Structured AI decision-making in disaster management, Scientific Reports (2025).