Sikimić, Vlasta (2025) Fair or Flawed? Rethinking Grant Review with Generative AI. [Preprint]

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Abstract

We analyze and systematize the methodological and ethical challenges arising from the potential use of AI in grant review. From the methodological perspective, one has to ensure that data are appropriately curated and that parameter choices are meaningful to predict a project’s success, while from the ethical perspective, we require accuracy and transparency in the process. The use of rebuttal systems in the grant review process and locally stored data tools for assessment brings us closer to the trustworthy use of AI. Moreover, we argue that full automation of the grant review process is undesirable as it could lead to disregarding normative metascientific theory, where diversity, exploration, and intellectual inclusion have an important role. Instead, a moderate path of using AI as an addition to the standard review process could be considered. Since science evaluation requires the dynamic updating of both knowledge and research values from the expert public, funding agencies should not reduce this endeavor to machines. Instead, they should empower peer reviewers to override AI-generated suggestions when they see fit.

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Item Type:	Preprint
Creators:	Creators Email ORCID Sikimić, Vlasta v.sikimic@tue.nl 0000-0002-6996-9341
Keywords:	Grant Review, Automation of Science, Generative AI, Trustworthy AI, Science Policy
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics General Issues > Philosophers of Science General Issues > Science and Policy General Issues > Social Epistemology of Science General Issues > Values In Science
Depositing User:	Dr. Vlasta Sikimic
Date Deposited:	15 Nov 2025 13:53
Last Modified:	15 Nov 2025 13:53
Item ID:	27224
DOI or Unique Handle:	10.1007/s11229-025-05366-z
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics General Issues > Philosophers of Science General Issues > Science and Policy General Issues > Social Epistemology of Science General Issues > Values In Science
Date:	2025
URI:	https://philsci-archive.pitt.edu/id/eprint/27224

Available Versions of this Item

• Fair or Flawed? Rethinking Grant Review with Generative AI. (deposited 15 Nov 2025 13:53) [Currently Displayed]
  • Fair or Flawed? Rethinking Grant Review with Generative AI. (deposited 16 Nov 2025 19:24)

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