Veit, Walter and Browning, Heather (2023) Neural Networks, AI, and the Goals of Modeling. [Preprint]

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Abstract

Deep neural networks have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of deep neural networks by examining the goals of modeling.

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Item Type:	Preprint
Creators:	Creators Email ORCID Veit, Walter wrwveit@gmail.com 0000-0001-7701-8995 Browning, Heather heather.browning@anu.edu.au 0000-0003-1554-7052
Keywords:	deep neural networks, AI, modeling, models, philosophy of science, vision
Subjects:	Specific Sciences > Cognitive Science General Issues > Evidence General Issues > Explanation General Issues > Models and Idealization General Issues > Operationalism/Instrumentalism Specific Sciences > Cognitive Science > Perception
Depositing User:	Dr. Walter Veit
Date Deposited:	01 Mar 2023 15:41
Last Modified:	01 Mar 2023 15:41
Item ID:	21811
Subjects:	Specific Sciences > Cognitive Science General Issues > Evidence General Issues > Explanation General Issues > Models and Idealization General Issues > Operationalism/Instrumentalism Specific Sciences > Cognitive Science > Perception
Date:	2023
URI:	https://philsci-archive.pitt.edu/id/eprint/21811

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