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Digital Phenotyping

Ethical Issues, Opportunities, and Threats

Bibliographic Data

ID15523574
AuthorsGiovanni Stanghellini (0000-0001-5164-7013, University of Chieti-Pescara, corresponding author), Federico Leoni (University of Verona)
Year2020
Volume11
Pages473-473
Publication date2020-05-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2020.00473
PMID32536882
OpenAlexW3028670867
LanguageEN
Citations received6
References cited10

This paper explores the potential threats of digital phenotyping and the ways it may redesign our body experience and conceptualization. We argue that technology in digital medicine, and in psychiatry in particular, is not merely an extrinsic device to achieve improvements in knowledge, diagnosis, and treatment of diseases; rather, it intrinsically and unavoidably implies potential effects on what it is to be a human person, namely the embodiment and relatedness in human affairs, and not only in the clinical setting. Last but not least, digital phenotyping may improve prediction of abnormal behaviour, but not improve its causal explanation or psychological understanding

Conceptualization · Data science · Engineering ethics · Artificial Intelligence in Healthcare and Education · Computer Science · Digital Mental Health Interventions · Engineering · Mental Health and Psychiatry · Psychology · Artificial Intelligence

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    Open Access•Mirjam Faissner, Eva Kuhn et al.•Ethics and Information Technology•2024

  • Ethical Issues in Democratizing Digital Phenotypes and Machine Learning in the Next Generation of Digital Health Technologies

    Open Access•Maurice Mulvenna, Raymond Bond et al.•Philosophy & Technology•2021

  • Digital Phenotyping

    Open Access•Simon Coghlan, Simon D’Alfonso•Philosophy & Technology•2021

  • The techno-politics of computing the mind

    Open Access•Katerina Sideri, Nel Van Dijk et al.•Social Studies of Science•2024

  • Threats to Global Mental Health From Unregulated Digital Phenotyping and Neuromarketing

    Open Access•Hossein Akbarialiabad, Bahar Bastani et al.•Frontiers in Psychiatry•2021

  • A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry

    Open Access•Rodrigo De La Fabian, Álvaro Jiménez-Molina et al.•Big Data & Society•2023

  • Historical Ontology

    Ian Hacking•Historical Ontology•2004

  • Implementing Machine Learning in Health Care — Addressing Ethical Challenges

    Danton Char, Danton S Char et al.•New England Journal of Medicine•2018

  • Examination of real-time fluctuations in suicidal ideation and its risk factors

    Evan M Kleiman, Brianna J Turner et al.•Journal of Abnormal Psychology•2017

  • Data for life

    Open Access•Natasha Dow Schüll•BioSocieties•2016

Unique citing works6
Citations per year1,2
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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