Publication: Human control redressed: comparing AI and human predictability in a real-effort task
Human control redressed: comparing AI and human predictability in a real-effort task
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Kandul, S., Micheli, V., Beck, J., Burri, T., Fleuret, F., Kneer, M., & Christen, M. (2023). Human control redressed: comparing AI and human predictability in a real-effort task. Computers in Human Behavior Reports, 10, 100290. https://doi.org/10.1016/j.chbr.2023.100290
Abstract
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Abstract
Predictability is a prerequisite for effective human control of artificial intelligence (AI). The inability to predict malfunctioning of AI, for example, impedes timely human intervention. In this paper, we empirically investigate how AI’s predictability compares to the predictability of humans in a real-effort task. We show that humans are worse at predicting AI performance than at predicting human performance. Importantly, participants are not aware of the differences in relative predictability of AI and overestimate their predictio
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- Kandul, Serhiy
- Micheli, Vincent
- Beck, Juliane
- Burri, Thomas
- Fleuret, François
- Christen, Markus
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Kandul, S., Micheli, V., Beck, J., Burri, T., Fleuret, F., Kneer, M., & Christen, M. (2023). Human control redressed: comparing AI and human predictability in a real-effort task. Computers in Human Behavior Reports, 10, 100290. https://doi.org/10.1016/j.chbr.2023.100290
