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Human-like machines: Transparency and comprehensibility. | LitMetric

Human-like machines: Transparency and comprehensibility.

Behav Brain Sci

Faculty of Business and Economics, University of Lausanne,Quartier UNIL-Dorigny,Internef,CH-1015

Published: January 2017

Artificial intelligence algorithms seek inspiration from human cognitive systems in areas where humans outperform machines. But on what level should algorithms try to approximate human cognition? We argue that human-like machines should be designed to make decisions in transparent and comprehensible ways, which can be achieved by accurately mirroring human cognitive processes.

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Source
http://dx.doi.org/10.1017/S0140525X17000255DOI Listing

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