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This paper presents a cross-disciplinary taxonomy and modeling framework for understanding, amplifying, and detecting misunderstandings, bridging pragmatics and AI agent systems.
NatureBench is a cross-disciplinary benchmark of 90 scientific tasks from Nature publications, designed to evaluate AI coding agents' ability to achieve genuine discovery. Current agents succeed mainly through methodological translation, not scientific innovation.
MIT has created a new undergraduate class combining anthropology and computer science to teach students how to design chatbots and AI systems with humane user experience principles, addressing concerns about addictive digital platforms and promoting ethical AI design.