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Epistemic Gaps and the Attribution of (AI) Discovery

Duede, Eamon and Friedman, Daniel (2025) Epistemic Gaps and the Attribution of (AI) Discovery. [Preprint]

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Abstract

What does it take to properly recognize someone as having made a scientific discovery? According to the 'Cognitivist', discovery attribution properly depends on the exercise of distinctive cognitive capacities such as competence, meta-reflective awareness, or domain-general understanding. Since AI systems lack such capacities, they cannot, on this view, be discoverers. If the Cognitivist is right, AI-driven science will be a markedly impoverished enterprise. Here, we argue otherwise. We develop an alternative, non-cognitivist conception of scientific discovery according to which discovery turns on successfully negotiating epistemic gaps. This reconception, we argue, better captures both familiar human cases and novel AI contributions, thereby re-framing the grounds for attributions of discovery in contemporary science. AI systems, we argue, can be appropriately attributed scientific discoveries. Along the way we develop a general moral for philosophical reflection in the age of AI-infused science.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Duede, Eamoneduede@purdue.edu0000-0002-3592-0478
Friedman, Danieldcfriedm@purdue.edu
Keywords: Artificial Intelligence Scientific Discovery Philosophy of Science
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Artificial Intelligence
General Issues > History of Philosophy of Science
Specific Sciences > Mathematics
General Issues > Theory Change
Depositing User: Dr. Eamon Duede
Date Deposited: 03 Jan 2026 02:31
Last Modified: 03 Jan 2026 02:31
Item ID: 27719
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Artificial Intelligence
General Issues > History of Philosophy of Science
Specific Sciences > Mathematics
General Issues > Theory Change
Date: November 2025
URI: https://philsci-archive.pitt.edu/id/eprint/27719

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