REFERENCES
- Donia, J., and J. Shaw. 2021. Ethics and values in design: A structured review and theoretical critique. Science and Engineering Ethics 27 (5):1–32. doi:10.1007/s11948-021-00329-2.
- Ferretti, A., M. Ienca, M. Sheehan, A. Blasimme, E. S. Dove, B. Farsides, P. Friesen, J. Kahn, W. Karlen, P. Kleist, et al. 2021. Ethics review of big data research: What should stay and what should be reformed? BMC Medical Ethics 22 (1):1–13. doi:10.1186/s12910-021-00616-4.
- McCradden, M. D., J. A. Anderson, E. A. Stephenson, E. Drysdale, L. Erdman, A. Goldenberg, and R. Z. Shaul. 2022. A research ethics framework for the clinical translation of healthcare machine learning. The American Journal of Bioethics 22 (5):8–12. doi:10.1080/15265161.2021.2013977.
- Shaw, J. A., and J. Donia. 2021. The sociotechnical ethics of digital health: A critique and extension of approaches from bioethics. Frontiers in Digital Health 3. doi:10.3389/fdgth.2021.725088.
- Shaw, J., F. Rudzicz, T. Jamieson, and A. Goldfarb. 2019. Artificial intelligence and the implementation challenge. Journal of Medical Internet Research 21 (7):e13659. doi:10.2196/13659.
- Shaw, J. A., N. Sethi, and C. K. Cassel. 2020. Social license for the use of big data in the COVID-19 era. NPJ Digital Medicine 3 (1):1–3. doi:10.1038/s41746-020-00342-y.
- Shilton, K., E. Moss, S. A. Gilbert, M. J. Bietz, C. Fiesler, J. Metcalf, J. Vitak, and M. Zimmer. 2021. Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. Big Data & Society 8 (2):205395172110407. doi:10.1177/20539517211040759.
- Xafis, V., G. O. Schaefer, M. K. Labude, I. Brassington, A. Ballantyne, H. Y. Lim, W. Lipworth, T. Lysaght, C. Stewart, S. Sun, et al. 2019. An ethics framework for big data in health and research. Asian Bioethics Review 11 (3):227–54. doi:10.1007/s41649-019-00099-x.