Advanced search
Publication Cover
The American Journal of Bioethics Volume 22, 2022 - Issue 10
Submit an article Journal homepage
146
Views
0
CrossRef citations to date
0
Altmetric
Correspondence

Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability

James A. Andersona University of Toronto;b The Hospital for Sick ChildrenView further author information
,
Melissa D. McCraddenb The Hospital for Sick Children;c Peter Gilgan Centre for Research and Learning;d Dalla Lana School of Public HealthCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6476-2165View further author information
ORCID Icon &
Elizabeth A. Stephensonb The Hospital for Sick ChildrenView further author information
Pages W6-W8 | Published online: 20 May 2022

REFERENCES

  • Aggarwal, R., S. Farag, G. Martin, H. Ashrafian, and A. Darzi. 2021. Patient perceptions on data sharing and applying artificial intelligence to health care data: Cross-sectional survey. Journal of Medical Internet Research 23 (8):e26162.
  • Anderson, J. A. 2009. Contextualizing clinical research: The epistemological role of clinical equipoise. Theoretical Medicine and Bioethics 30 (4):269–88. doi:10.1007/s11017-009-9104-6.
  • Bracken-Roche, D., E. Bell, M. E. Macdonald, and E. Racine. 2017. The concept of “vulnerability” in research ethics: An in-depth analysis of policies and guidelines. Health Research Policy and Systems 15 (1):8. doi:10.1186/s12961-016-0164-6.
  • Futoma, J., M. Simons, T. Panch, F. Doshi-Velez, and L. A. Celi. 2020. The myth of generalisability in clinical research and machine learning in health care. The Lancet. Digital Health 2 (9):e489–92.
  • George, L., J. Tauri, and L. Te Ata O Tu MacDonald. 2020. Indigenous research ethics: Claiming research sovereignty beyond deficit and the colonial legacy. Melbourne: Emerald Group Publishing.
  • Gichoya, J. W., L. G. McCoy, L. A. Celi, and M. Ghassemi. 2021. Equity in essence: A call for operationalising fairness in machine learning for healthcare. BMJ Health & Care Informatics 28 (1):e100289. doi:10.1136/bmjhci-2020-100289.
  • Hurst, S. A. 2008. Vulnerability in research and health care; describing the elephant in the room? Bioethics 22 (4):191–202. doi:10.1111/j.1467-8519.2008.00631.x.
  • Levi, M., M. Bernstein, and C. Waeiss. 2022. Broadening the ethical scope. The American Journal of Bioethics 22 (5):26–8. doi:10.1080/15265161.2022.2055219.
  • Martinez-Martin, N., and M. K. Cho. 2022. Bridging the AI chasm: Can EBM address representation and fairness in clinical machine learning? The American Journal of Bioethics 22 (5):30–2. doi:10.1080/15265161.2022.2055212.
  • McCradden, M. D., J. A. Anderson, E. A. Stephenson, E. Drysdale, L. Erdman, A. Goldenberg, and R. Zlotnik Shaul. 2022. A research ethics framework for the clinical translation of healthcare machine learning. The American Journal of Bioethics 22 (5):8–22. doi:10.1080/15265161.2021.2013977.
  • McCradden, M. D., A. Baba, A. Saha, S. Ahmad, K. Boparai, P. Fadaiefard, and M. D. Cusimano. 2020. Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: A qualitative study. CMAJ Open 8 (1):E90–5. doi:10.9778/cmajo.20190151.
  • McCradden, M. D., T. Sarker, and P. A. Paprica. 2020. Conditionally positive: A qualitative study of public perceptions about using health data for artificial intelligence research. BMJ Open 10 (10):e039798. doi:10.1136/bmjopen-2020-039798.
  • Shaw, J. 2022. Emerging paradigms for ethical review of research using artificial intelligence. The American Journal of Bioethics 22 (5):42–4. doi:10.1080/15265161.2022.2055206.
  • Solomon, S. R. 2013. Protecting and respecting the vulnerable: Existing regulations or further protections? Theoretical Medicine and Bioethics 34 (1):17–28. doi:10.1007/s11017-013-9242-8.
  • Sounderajah, V., M. D. McCradden, X. Liu, et al. 2022. Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare. Nature Machine Intelligence 4 (4):316–7.
  • Unsworth, H., V. Wolfram, B. Dillon, M. Salmon, F. Greaves, X. Liu, T. MacDonald, A. K. Denniston, V. Sounderajah, H. Ashrafian, et al. 2022. Building an evidence standards framework for artificial intelligence-enabled digital health technologies. The Lancet. Digital Health 4 (4):e216–7. doi:10.1016/S2589-7500(22)00030-9.
  • Vandemeulebroucke, T., Y. Denier, and C. Gastmans. 2022. The need for a global approach to the ethical evaluation of healthcare machine learning. The American Journal of Bioethics 22 (5):33–5. doi:10.1080/15265161.2022.2055207.
  • Vayena, E., A. Blasimme. 2022. A systemic approach to the oversight of machine learning clinical translation. The American Journal of Bioethics 22 (4):23–5. doi:10.1080/15265161.2022.2055216.
  • Walter, M., and M. Suina. 2019. Indigenous data, indigenous methodologies and indigenous data sovereignty. International Journal of Social Research Methodology 22 (3):233–43. doi:10.1080/13645579.2018.1531228.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.