Will human-like machines make human-like mistakes?
- PMID: 29342702
- DOI: 10.1017/S0140525X1700019X
Will human-like machines make human-like mistakes?
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.
Comment in
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Ingredients of intelligence: From classic debates to an engineering roadmap.Behav Brain Sci. 2017 Jan;40:e281. doi: 10.1017/S0140525X17001224. Behav Brain Sci. 2017. PMID: 29342708
Comment on
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Building machines that learn and think like people.Behav Brain Sci. 2017 Jan;40:e253. doi: 10.1017/S0140525X16001837. Epub 2016 Nov 24. Behav Brain Sci. 2017. PMID: 27881212
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