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Can Generative AI Produce Novel Evidence?

Khosrowi, Donal and Finn, Finola (2024) Can Generative AI Produce Novel Evidence? In: UNSPECIFIED.

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Abstract

Researchers in the historical sciences explore the use of generative AI (GenAI) systems for reconstructing destroyed manuscripts and artifacts. This paper poses a novel question: can such GenAI systems generate evidence that provides new knowledge about the world or can they only produce hypotheses that we might seek evidence for? Exploring responses to this question, the paper argues that 1) GenAI outputs can at least be understood as higher-order evidence (Parker 2022) and 2) may also produce de novo synthetic evidence.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Khosrowi, Donaldonal.khosrowi@philos.uni-hannover.de0000-0002-9927-2000
Finn, Finolafinola.finn@uni.lu0009-0000-1805-0442
Keywords: Artificial intelligence, Machine Learning; Generative AI; Evidence; Historical Science; Archaeology; Computer Simulation; Epistemology
Subjects: General Issues > Data
Specific Sciences > Archaeology
Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence
General Issues > Computer Simulation
General Issues > Evidence
Specific Sciences > Artificial Intelligence > Machine Learning
Depositing User: Donal Khosrowi
Date Deposited: 12 Nov 2024 13:21
Last Modified: 12 Nov 2024 13:21
Item ID: 24201
Subjects: General Issues > Data
Specific Sciences > Archaeology
Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence
General Issues > Computer Simulation
General Issues > Evidence
Specific Sciences > Artificial Intelligence > Machine Learning
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/24201

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