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Introduction
This chapter explores the integration of non-computing science in reinforcement learning to enhance AI alignment by leveraging insights from various disciplines and addressing re-inventionism. It emphasizes using solutions from fields like economics to improve reward models and transparency in human feedback for alignment processes.