In high-stakes disaster scenarios, effective decision-making is paramount yet hindered by various challenges including uncertainty and resource constraints. This review identifies patterns of Human-AI collaboration across all stages of disaster management, emphasizing their potential to improve situational awareness and operational efficiency.
The analysis highlights critical aspects such as cognitive-augmented intelligence and the importance of trust and transparency in Human-AI interactions. Additionally, the paper points out limitations in current AI systems, particularly concerning scalability and interoperability, which could hinder the overall effectiveness of these technologies in real-world scenarios. The implications of these findings underscore the necessity for future research focused on developing adaptive and reliable Human-AI systems that can enhance disaster resilience and equitable recovery outcomes.
👉 Pročitaj original: arXiv AI Papers
