Imperial College London

ProfessorStephenBrett

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Critical Care
 
 
 
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Contact

 

+44 (0)20 3313 4521stephen.brett Website

 
 
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Location

 

Hammersmith House 570Hammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Post:2022:10.1007/s43681-022-00230-z,
author = {Post, B and Badea, C and Faisal, A and Brett, S},
doi = {10.1007/s43681-022-00230-z},
journal = {AI and Ethics},
title = {Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus},
url = {http://dx.doi.org/10.1007/s43681-022-00230-z},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - An appropriate ethical framework around the use of Artificial Intelligence (AI) in healthcare has become a key desirable with the increasingly widespread deployment of this technology. Advances in AI hold the promise of improving the precision of outcome prediction at the level of the individual. However, the addition of these technologies to patient–clinician interactions, as with any complex human interaction, has potential pitfalls. While physicians have always had to carefully consider the ethical background and implications of their actions, detailed deliberations around fast-moving technological progress may not have kept up. We use a common but key challenge in healthcare interactions, the disclosure of bad news (likely imminent death), to illustrate how the philosophical framework of the 'Felicific Calculus' developed in the eighteenth century by Jeremy Bentham, may have a timely quasi-quantitative application in the age of AI. We show how this ethical algorithm can be used to assess, across seven mutually exclusive and exhaustive domains, whether an AI-supported action can be morally justified.
AU - Post,B
AU - Badea,C
AU - Faisal,A
AU - Brett,S
DO - 10.1007/s43681-022-00230-z
PY - 2022///
SN - 2730-5961
TI - Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus
T2 - AI and Ethics
UR - http://dx.doi.org/10.1007/s43681-022-00230-z
UR - http://hdl.handle.net/10044/1/100951
ER -