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Will artificial intelligence eventually replace psychiatrists?

Brown, C; Story, GW; Mourão-Miranda, J; Baker, JT; (2019) Will artificial intelligence eventually replace psychiatrists? The British Journal of Psychiatry 10.1192/bjp.2019.245. (In press). Green open access

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Abstract

SUMMARY: The dystopian scenario of an 'artificial intelligence takeover' imagines artificial intelligence (AI) becoming the dominant form of intelligence on Earth, rendering humans redundant. As a society we have become increasingly familiar with AI and robots replacing humans in many tasks, certain jobs and even some areas of medicine, but surely this is not the fate of psychiatry?Here a computational neuroscientist (Janaina Mourão-Miranda) and psychiatrist (Justin Taylor Baker) suggest that psychiatry as a profession is relatively safe, whereas psychiatrists Christian Brown and Giles William Story predict that robots will be taking over the asylum.

Type: Article
Title: Will artificial intelligence eventually replace psychiatrists?
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1192/bjp.2019.245
Publisher version: https://doi.org/10.1192/bjp.2019.245
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Artificial intelligence, biomarkers, information technologies, silicon valley, technology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10092903
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