Replication Data for 'Using AI to understand AI' supports a study submitted to the Journal of Risk Research. The data was developed to model expert perceptions of AI risk in health using a mental-models approach and to validate a workflow leveraging ChatGPT. Author Jonas Krieger provided this data through DataverseNL to ensure replicability of the described procedure.
Use Cases
- Replicate an expert model of AI risk perception in health based on the described mental-models approach.
- Validate a methodological workflow for using large language models in expert model development as described in the associated article.
- Study the application of ChatGPT for supporting qualitative research methods in risk perception studies.
Strengths
- Data is explicitly provided to ensure replicability of a peer-reviewed research procedure.
- The dataset supports a dual aim of model development and methodological validation, as stated in the description.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Jonas Krieger via DataverseNL Harvested Dataverse.
- Collection Method
- Likely gathered through expert elicitation and analysis using a mental-models approach, with validation involving ChatGPT.
- Freshness
- Last updated 2026-06-29 06:10:21; freshness should be verified.