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Will human-like machines make human-like mistakes?

Published online by Cambridge University Press:  10 November 2017

Evan J. Livesey
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. evan.livesey@sydney.edu.aumicah.goldwater@sydney.edu.auben.colagiuri@sydney.edu.auhttp://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php
Micah B. Goldwater
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. evan.livesey@sydney.edu.aumicah.goldwater@sydney.edu.auben.colagiuri@sydney.edu.auhttp://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php
Ben Colagiuri
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. evan.livesey@sydney.edu.aumicah.goldwater@sydney.edu.auben.colagiuri@sydney.edu.auhttp://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php

Abstract

Although we agree with Lake et al.'s central argument, there are numerous flaws in the way people use causal models. Our models are often incorrect, resistant to correction, and applied inappropriately to new situations. These deficiencies are pervasive and have real-world consequences. Developers of machines with similar capacities should proceed with caution.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2017 

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