An international research team involving the University of Bayreuth has, for the first time, analysed the “inner workings” of AI language models when predicting political voting decisions. To do so, the researchers examined six national elections and AI-based election forecasts and developed a new method for making more precise predictions. They presented their findings at one of the world’s leading AI conferences, the International Conference on Machine Learning (ICML 2026) in Seoul, South Korea.
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