The study compares LLM-simulated responses with human players in a US-China crisis scenario wargame. While there is considerable agreement, significant differences exist, emphasizing the need for caution in relying on AI for strategic decisions.
The research delves into the impact of AI systems on conflict resolution and warfare strategies. It examines how LLMs simulate human decision-making and highlights discrepancies between simulated and human player behaviors.
Through a series of experiments, the study reveals that while LLMs can approximate human responses, they exhibit systematic deviations in strategic preferences. The findings underscore the importance of understanding biases in LLMs before deploying them for critical decision-making processes.
The analysis showcases how LLMs can enhance wargame studies but also emphasizes the limitations and variability of these models. It calls for rigorous testing, deployment criteria, and new technical approaches to ensure responsible use of LLMs in strategic decision-making.
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arxiv.org
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by Max Lamparth... ב- arxiv.org 03-07-2024
https://arxiv.org/pdf/2403.03407.pdfשאלות מעמיקות