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Adaptive Complementarity in Human-AI Systems: Architecture as a State-Shaping Choice
Human-AI interaction can improve current performance while changing the capabilities and relationships on which future performance depends. We develop adaptive complementarity, a framework for choosing interaction architecture with these state consequences in view. Access, information exposure, task
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