Moev, Tzvetan (2026) Are the AI models used in science really models? In: UNSPECIFIED.

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Abstract

We often refer to Deep Neural Nets (DNNs) as models. This paper utilizes the use of DNNs in economics as a case study to examine whether they really function as models in science. I argue for two main claims. First, DNNs function differently from the main types of models used in science. Second, DNNs should be understood as measuring instruments that are not models. Thus, we should not refer to the DNNs used in science as models. This argument has important implications for the philosophical questions that we can legitimately ask about the DNNs used in science.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Moev, Tzvetan tzvetan.moev@gmail.com
Keywords:	AI models, philosophy of economics, scientific instruments
Subjects:	Specific Sciences > Artificial Intelligence Specific Sciences > Economics General Issues > Models and Idealization
Depositing User:	Mr Tzvetan Moev
Date Deposited:	01 Jun 2026 12:32
Last Modified:	01 Jun 2026 12:32
Item ID:	29846
Subjects:	Specific Sciences > Artificial Intelligence Specific Sciences > Economics General Issues > Models and Idealization
Date:	March 2026
URI:	https://philsci-archive.pitt.edu/id/eprint/29846

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• Are the AI models used in science really models? (deposited 31 May 2026 12:47)
  • Are the AI models used in science really models? (deposited 01 Jun 2026 12:32) [Currently Displayed]

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