PhilSci Archive

Can Generative AI Produce Novel Evidence?

Khosrowi, Donal and Finn, Finola (2025) Can Generative AI Produce Novel Evidence? [Preprint]

This is the latest version of this item.

[img] Text
Khosrowi Finn_Can generative AI produce novel evidence_PSA_Archive.pdf - Accepted Version

Download (262kB)

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.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
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: 21 Feb 2025 15:03
Last Modified: 21 Feb 2025 15:03
Item ID: 24775
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: 2025
URI: https://philsci-archive.pitt.edu/id/eprint/24775

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item