Response to our reviewers

Journal of Medical Ethics 47 (7):514-514 (2021)
  Copy   BIBTEX


We would like to thank the authors of the commentaries for their critical appraisal of our feature article, Who is afraid of black box algorithms?1 Their comments, suggestions and concerns are various, and we are glad that our article contributes to the academic debate about the ethical and epistemic conditions for medical Explanatory AI. We would like to bring to attention a few issues that are common worries across reviewers. Most prominently are the merits of computational reliabilism —in particular, when promoted as an alternative to transparency—and CR as necessary but not sufficient for delivering trust. We finalise our response by addressing concerns about the place and role of artificial intelligence in medical decision-making and the physician’s responsibilities. We understand the concerns and reservations that some of the reviewers express regarding the epistemic merits of CR. We believe that, in part, this is due to a practice too deeply rooted in transparency. But on …



    Upload a copy of this work     Papers currently archived: 93,031

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

Transparent AI: reliabilist and proud.Abhishek Mishra - forthcoming - Journal of Medical Ethics.
Reviewers Acknowledgement.[author unknown] - 2022 - International Studies in the Philosophy of Science 35 (3):i-ii.


Added to PP

28 (#588,057)

6 months
5 (#711,375)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Juan Manuel Durán
Delft University of Technology