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The article reflects on the evolving relationship between humans and AI, arguing that as AI becomes more autonomous, the key challenge is understanding human decision-making and purpose, rather than just technical capability. It suggests shifting from using AI as a mere tool to collaborating with it as an instrument that enhances human judgment.
This paper introduces HALE, a scalable hybrid agent-based and language-driven epidemic modeling framework that leverages LLMs to predict human decision-making in ABM simulations, demonstrating improved accuracy in modeling COVID-19 spread in Salt Lake County.