We might be afraid of black-box algorithms

Journal of Medical Ethics 47 (5):339-40 (2021)
  Copy   BIBTEX


Fears of black-box algorithms are multiplying. Black-box algorithms are said to prevent accountability, make it harder to detect bias and so on. Some fears concern the epistemology of black-box algorithms in medicine and the ethical implications of that epistemology. In ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI,’ Juan Durán and Karin Jongsma seek to allay such fears. While we find some of their arguments compelling, we still see reasons for fear.

Similar books and articles

A Causal Theory of Experiential Fear.Wayne Davis - 1988 - Canadian Journal of Philosophy 18 (3):459 - 483.
Who's Afraid of the Big Black Man?Jason Kyle Johnson - forthcoming - Educational Studies:1-8.
Who's afraid of Deleuze and Guattari.Gregg Lambert - 2006 - New York, NY: Continuum.
Word of Mouse.Jeremy Stangroom - 2005 - The Philosophers' Magazine 30:10-10.
Word of Mouse.Jeremy Stangroom - 2005 - The Philosophers' Magazine 30:10-10.
Why Black Athletes Dominate Sports and Why We're Afraid to Talk About It.John Valentine - 2001 - Journal of the Philosophy of Sport 28 (1):120-123.
Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics.Kate Crawford - 2016 - Science, Technology, and Human Values 41 (1):77-92.


Added to PP

1,028 (#7,883)

6 months
286 (#2,397)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Citations of this work

Response to our reviewers.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (7):514-514.

Add more citations

References found in this work

No references found.

Add more references