What Kind of Artificial Intelligence Should We Want for Use in Healthcare Decision-Making Applications?

Canadian Journal of Bioethics / Revue canadienne de bioéthique 4 (1) (2021)
  Copy   BIBTEX

Abstract

The prospect of including artificial intelligence in clinical decision-making is an exciting next step for some areas of healthcare. This article provides an analysis of the available kinds of AI systems, focusing on macro-level characteristics. This includes examining the strengths and weaknesses of opaque systems and fully explainable systems. Ultimately, the article argues that “grey box” systems, which include some combination of opacity and transparency, ought to be used in healthcare settings.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,038

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Computer-assisted decision making in medicine.A. Feigenbaum Edward - 1984 - Journal of Medicine and Philosophy 9 (2).
The promise and perils of AI in medicine.Robert Sparrow & Joshua James Hatherley - 2019 - International Journal of Chinese and Comparative Philosophy of Medicine 17 (2):79-109.
Medical Machines: The Expanding Role of Ethics in Technology-Driven Healthcare.Connor T. A. Brenna - 2021 - Canadian Journal of Bioethics / Revue canadienne de bioéthique 4 (1).
Dementia, Healthcare Decision Making, and Disability Law.Megan S. Wright - 2019 - Journal of Law, Medicine and Ethics 47 (S4):25-33.
AI ethics and the banality of evil.Payman Tajalli - 2021 - Ethics and Information Technology 23 (3):447-454.

Analytics

Added to PP
2021-06-11

Downloads
20 (#768,637)

6 months
5 (#641,756)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Jordan Wadden
Ryerson University

Citations of this work

No citations found.

Add more citations