Replication Data for: Using AI to understand AI

Dataset

DOI

The provided data supports two aims: (1) to develop an expert model of AI risk perception in health using a mental-models approach in the context of risk research, and (2) to validate a new methodological workflow that leverages the large language model (LLM) of ChatGPT to support the development of an expert model.

The data is provided to ensure replicability of the procedure described in a submitted article to the Journal of Risk Research (Routledge)

ChatGPT, 4.0

Atlas Ti, 25.0.1

Identifier
DOI	https://doi.org/10.34894/L1HNQO
Metadata Access	https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/L1HNQO

Provenance
Creator	Krieger, Jonas
Publisher	DataverseNL
Contributor	Krieger, Jonas; 1) Krieger, Jonas Benjamin; 1) Wibral, M.; 1) Almeida, R. J.; 1) Bouder, Frederic Emmanuel
Publication Year	2026
Rights	CC-BY-NC-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess	true
Contact	Krieger, Jonas (UNU Merit/ Maastricht University)

Representation
Resource Type	Dataset
Format	application/pdf; text/markdown; application/octet-stream; image/png
Size	4555049; 1257257; 7758; 55646; 11832; 180056; 156008; 286942; 288061; 329540; 370270; 459921; 297355; 337869
Version	1.0
Discipline	Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage	Heilbronn, Germany