Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context
Author:
Funder
Université du Québec à Rimouski
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41649-024-00292-7.pdf
Reference147 articles.
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2. Abràmoff, M.D., D. Tobey, and D.S. Char. 2020. Lessons learned about autonomous AI: Finding a safe, efficacious, and ethical path through the development process. American Journal of Ophthalmology 214: 134–142. https://doi.org/10.1016/j.ajo.2020.02.022.
3. Afnan, M.A.M., Y. Liu, V. Conitzer, C. Rudin, A. Mishra, J. Savulescu, and M. Afnan. 2021. Interpretable, not black-box, artificial intelligence should be used for embryo selection. Human Reproduction Open 2021 (4): hoab040. https://doi.org/10.1093/hropen/hoab040.
4. Akinci D’Antonoli, T. 2020. Ethical considerations for artificial intelligence: An overview of the current radiology landscape. Diagnostic and Interventional Radiology 26 (5): 504–511. https://doi.org/10.5152/dir.2020.19279.
5. Alami, H., P. Lehoux, Y. Auclair, M. de Guise, M.P. Gagnon, J. Shaw, D. Roy, R. Fleet, M.A. Ag Ahmed, and J.P. Fortin. 2020. Artificial intelligence and health technology assessment: Anticipating a new level of complexity. Journal of Medical Internet Research 22 (7): e17707. https://doi.org/10.2196/17707.
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