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Exploring AI-Driven Decisions in Disaster Simulation for Emergency Medical Teams
1Beijing Language and Culture University.
Studies in Health Technology and Informatics
|July 1, 2025
Summary
Artificial intelligence (AI) recommendations for disaster scenarios were evaluated for coherence. Preliminary findings indicate AI should not replace human expert judgment in critical situations.
Area of Science:
- Artificial Intelligence
- Disaster Management
- Decision Support Systems
Background:
- AI is increasingly used in critical decision-making.
- Evaluating AI coherence in high-stakes scenarios is crucial.
- Generative AI and Agent AI offer different recommendation approaches.
Purpose of the Study:
- To quantitatively assess the coherence of AI-generated recommendations.
- To compare Generative AI and Agent AI outputs for disaster scenarios.
- To determine the reliability of AI in expert judgment replacement.
Main Methods:
- Quantitative methodology applied to evaluate AI recommendations.
- Analysis of AI-generated outputs for coherence.
- Comparison of AI performance against expert judgment benchmarks.
Main Results:
- Preliminary results show varying coherence levels in AI recommendations.
- AI-generated recommendations may lack the nuance of expert judgment.
- Coherence is particularly critical in high-stakes disaster scenarios.
Conclusions:
- AI recommendations require careful validation in disaster management.
- Expert judgment remains indispensable for high-stakes decision-making.
- Further research is needed to improve AI coherence and reliability.
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