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Our work „Boosting human decision-making with AI-generated decision aids" has been accepted in Computational Brain & Behavior. We extend our interpretability method for automated description of planning strategies and show that it can help people make better, more farsighted decisions. Our findings suggest that AI-powered boosting might have potential for improving human decision-making in the real world.
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