People underestimate the errors made by algorithms for credit scoring and 
recidivism prediction but accept even fewer errors

Rebitschek, Felix G.; Gigerenzer, Gerd; Wagner, Gert G.

doi:10.1038/s41598-021-99802-y

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People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors

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Rebitschek, Felix G.
Max Planck Institute for Human Development, Max Planck Society;

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Gigerenzer, Gerd
Max Planck Institute for Human Development, Max Planck Society;

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Wagner, Gert G.
Max Planck Institute for Human Development, Max Planck Society;

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Rebitschek, F. G., Gigerenzer, G., & Wagner, G. G. (2021). People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors. Scientific Reports, 11: 20171. doi:10.1038/s41598-021-99802-y.

Cite as: https://hdl.handle.net/21.11116/0000-0008-383B-8

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