S. Andrew Aston

Biomedical Data Scientist

Works Cited

  1. National Institutes of Health. (n.d.). NIH Artificial Intelligence (AI) Cybersecurity Guidance. https://wiki.ocio.nih.gov/index.php/NIH_Artificial_Intelligence_(AI)_Cybersecurity_Guidance
  2. OpenAI. (2025). How your data is used to improve model performance. OpenAI Help Center. https://help.openai.com/en/articles/5722486-how-your-data-is-used-to-improve-model-performance
  3. OpenAI. (2024, November 4). Privacy policy. OpenAI. https://openai.com/policies/privacy-policy/
  4. Chen, Z. Z., Ma, J., Zhang, X., Hao, N., Yan, A., Nourbakhsh, A., Yang, X., McAuley, J., Petzold, L., & Wang, W. Y. (2024). A survey on large language models for critical societal domains: Finance, healthcare, and law. arXiv. https://arxiv.org/abs/2405.01769
  5. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623). Association for Computing Machinery. https://doi.org/10.1145/3442188.3445922
  6. Kacena, M. A., Plotkin, L. I., & Fehrenbacher, J. C. (2024). The Use of Artificial Intelligence in Writing Scientific Review Articles. Current Osteoporosis Reports, 22(1), 115–121. https://doi.org/10.1007/s11914-023-00852-0
  7. Gatto, J. G. (2025, March 24). OECD report on data scraping and AI – What companies can do now as policymakers consider the issues. The National Law Review. https://natlawreview.com/article/oecd-report-data-scraping-and-ai-what-companies-can-do-now-policymakers-consider
  8. Huang, J., Yang, D., & Potts, C. (2024). Demystifying verbatim memorization in large language models. arXiv. https://arxiv.org/abs/2407.17817
  9. National Institutes of Health. (2024). CHIRP: A ChatGPT model for the NIH intramural community. NIH Catalyst, 33(2). https://irp.nih.gov/catalyst/33/2/chirp-a-chatgpt-model-for-the-nih-intramural-community
  10. U.S. Department of Health and Human Services. (2024). Reminder of existing HHS IT user policies relevant for third-party generative AI tools.
  11. National Institutes of Health. (2023). Notice of NIH policy for data management and sharing. (NOT-OD-23-149). https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-149.html
  12. Thorp, H. H. (2023, July 25). Change is coming: Policy on use of generative AI and large language models. Science. https://www.science.org/content/blog-post/change-policy-use-generative-ai-and-large-language-models
  13. International Committee of Medical Journal Editors. (2023). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. https://www.icmje.org/icmje-recommendations.pdf
  14. Xiong, H., Bian, J., Li, Y., Li, X., Du, M., Wang, S., Yin, D., & Helal, S. (2024). When search engine services meet large language models: Visions and challenges. arXiv. https://arxiv.org/abs/2407.00128