The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective
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AI-generated text detection tools demonstrate systematic bias against non-native English speakers.
“AIgenerated text detection tools demonstrate systematic bias against non-native English speakers (Topaz et al., 2025)”
From When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity (2026) · cites this paper as Topaz et al., 2025
Topaz et al. (2025) documented that AI-generated text detection software demonstrates systematic bias against non-native English speakers.
“AI-generated text detection software demonstrates systematic bias against non-native English speakers”
From When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity (2026) · cites this paper as Topaz et al. (2025)
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Cites
Investigating the impact of user trust on the adoption and use of ChatGPT: Survey analysis
Choudhury, A., & Shamszare, H. (2023) · Journal of Medical Internet Research · doi:10.2196/47184 · Cited by 470 · see citing works
Generative AI in medical practice: in-depth exploration of privacy and security challenges
Chen, Y., & Esmaeilzadeh, P. (2024) · Journal of Medical Internet Research · doi:10.2196/53008 · Cited by 353 · see citing works
Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review
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Privacy and Security Concerns in Generative AI: A Comprehensive Survey
Golda, A., Mekonen, K. A., Pandey, A., Singh, A., Hassija, V., Chamola, V., & Sikdar, B. (2024) · IEEE Access · doi:10.1109/access.2024.3381611 · Cited by 269 · see citing works
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Text Embeddings Reveal (Almost) As Much As Text
Morris, J. X., Kuleshov, V., Shmatikov, V., & Rush, A. M. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.765 · Cited by 123 · see citing works
Artificial Intelligence in Nursing Education: Opportunities and Challenges
Glauberman, G., Ito-Fujita, A., Katz, S., & Callahan, J. (2023) · Hawai‘i Journal of Health & Social Welfare · doi:10.62547/yeis2105 · Cited by 114 · see citing works
Cyberethics in nursing education: Ethical implications of artificial intelligence
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The ChatGPT effect and transforming nursing education with generative AI: Discussion paper
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Self-citationA rapid review on current and potential uses of large language models in nursing
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Self-citationToward Clinical Generative AI: Conceptual Framework
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Cited by
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Sun, Y., Li, H., Tao, X., Zhou, X., Gururajan, R., & Zhang, J. (2026) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2026.100675
- Authors
- Topaz, M., Peltonen, L. M., Michalowski, M., Pruinelli, L., Ronquillo, C. E., Zhang, Z., & Babic, A.
- Affiliations
- Columbia University (US)
- University of Eastern Finland (FI)
- University of Minnesota (US)
- University of Florida Health (US)
- University of British Columbia, Okanagan Campus (CA)
- Group Research and Development Det Norske Veritas (DNV) Oslo Norway
- Corresponding author
- Topaz, Maxim
- ORCID
- Venue
- Journal of Nursing Scholarship
- Publisher
- Wiley
- Published
- 2025-05-05
- Volume
- 57
- Issue
- 4
- Pages
- 559-562
- ISSN
- 0363-2792 (ISSN-L)
- 1527-6546
- 1547-5069
- OpenAlex
- W4410096071
- Cited by
- 9
- References
- 20
- Citations by year
- 2026: 7 · 2025: 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nursing Scholarship (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- generative AI, nursing, AI risks, ethical implications, nursing practice
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