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Designing AI for Appropriation Will Calibrate Trust

medien.ifi.lmu.de · 4,225 words · saved by 1 readers

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Designing AI for Appropriation Will Calibrate Trust ZELUN TONY ZHANG, fortiss GmbH, Research Institute of the Free State of Bavaria, Germany YUANTING LIU, fortiss GmbH, Research Institute of the Free State of Bavaria, Germany ANDREAS BUTZ, LMU Munich, Germany Calibrating users’ trust on AI to an appropriate level is widely considered one of the key mechanisms to manage brittle AI performance. However, trust calibration is hard to achieve, with numerous interacting factors that can tip trust into one direction or the other. In this position paper, we argue that instead of focusing on trust…

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