Large Language Model Advanced Data Analysis Abuse to Create a Fake Data Set in Medical Research
Open accessAbstract
This quality improvement study evaluates the ability of GPT-4 Advanced Data Analysis to create a fake data set that can be used for the purpose of scientific research.
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This unethical use of AI is becoming increasingly likely since generative models can be used to create synthetic datasets from scratch or make alternative versions of existing datasets.
“This unethical use of AI is becoming increasingly likely since generative models can be used to create synthetic datasets from scratch or make alternative versions of existing datasets [50, 155, 200, 214].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [214]
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Cites
Xie, Y., Wang, K., & Kong, Y. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00314-9 · Cited by 205 · see citing works
Code Interpreter for Bioinformatics: Are We There Yet?
Wang, L., Ge, X., Liu, L., & Hu, G. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03324-9 · Cited by 31 · see citing works
Taloni, A., Scorcia, V., & Giannaccare, G. (2023) · Eye · doi:10.1038/s41433-023-02678-7 · Cited by 26 · see citing works
Self-citationLucisano, A., Scorcia, V., Taloni, A., et al. (2023) · Eye · doi:10.1038/s41433-023-02536-6 · Cited by 4 · see citing works
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Resnik, D. B., & Hosseini, M. (2025) · AI and Ethics · doi:10.1007/s43681-024-00493-8 · Cited by 228 · see citing works
“This unethical use of AI is becoming increasingly likely since generative models can be used to create synthetic datasets from scratch or make alternative versions of existing datasets [50, 155, 200, 214].”
Sarstedt, M., Adler, S. J., Rau, L., & Schmitt, B. (2024) · Psychology & Marketing · doi:10.1002/mar.21982 · Cited by 149 · see citing works
Open Science at the generative AI turn: An exploratory analysis of challenges and opportunities
Hosseini, M., Horbach, S. P. J. M., Holmes, K., & Ross-Hellauer, T. (2025) · Quantitative Science Studies · doi:10.1162/qss_a_00337 · Cited by 40 · see citing works
The Impact of Generative Artificial Intelligence on Research Integrity in Scholarly Publishing
Chauhan, C., & Currie, G. (2024) · The American Journal of Pathology · doi:10.1016/j.ajpath.2024.10.001 · Cited by 22 · see citing works
- Authors
- Taloni, A., Scorcia, V., & Giannaccare, G.
- Affiliations
- Magna Graecia University (IT)
- University of Cagliari (IT)
- Corresponding author
- Giannaccare, Giuseppe
- Venue
- JAMA Ophthalmology
- Publisher
- American Medical Association (AMA)
- Published
- 2023-12-01
- Volume
- 141
- Issue
- 12
- Pages
- 1174
- ISSN
- 2168-6165 (ISSN-L)
- PMC
- PMC10636646
- OpenAlex
- W4388523842
- Cited by
- 50
- References
- 4
- Citations by year
- 2026: 2 · 2025: 20 · 2024: 26 · 2023: 2
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Ophthalmology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Keywords
- large language models, GPT-4, data fabrication, research integrity, medical research, artificial intelligence in research
- MeSH terms
- Data Analysis, Humans, Biomedical Research
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