Lalumera, Elisabetta (2025) Ameliorating Epistemic Injustice with Digital Health Technologies. [Preprint]

Text (Forthcoming Open Access in 2025) Lalumera-Ameliorating Epistemic Injustice Digital Technologies-Bortolotti ed.ch.8-24.pdf - Accepted Version Available under License Creative Commons Attribution No Derivatives. Download (332kB)

Abstract

This chapter discusses the potential of digital phenotyping
to ameliorate epistemic injustice in mental health. Digital phenotyping,which analyses behavioural patterns from user datas or smart devices,shows promise in improving mental health care. Whilst concerns exist that it may exacerbate epistemic injustice by overshadowing individual experiences, the chapter presents a different viewpoint. Through a fictional case study, digital phenotyping is portrayed as aiding individuals seeking help by offering more accurate evidence and supporting shared decision making. The objection that digital technology overrides personal claimsis countered by arguing against absolute epistemic priority for any diag11
nostic tool in medicine. The chapter acknowledges the need for technological advancements and ethical considerations but maintains a positive outlook on the future of digital phenotyping in mental health care.

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Item Type:	Preprint
Creators:	Creators Email ORCID Lalumera, Elisabetta elisabetta.lalumera@unibo.it 0000-0002-0345-0838
Additional Information:	This is chapter 8 in Bortolotti, L. (ed.) Epistemic Justice in Mental Healthcare. Recognising Agency and Promoting Virtues Across the Life Span. London: Palgrave Macmillan, ISBN 978-3-031-68880-5.
Keywords:	Epistemic injustice, Digital phenotyping, Mental health, Artificial Intelligence, ADHD, Diagnosis, Medical technology, Predictive models, AI, Psychiatry, Clinical decision-making
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Medicine > Biomedical Ethics Specific Sciences > Artificial Intelligence > Classical AI General Issues > Ethical Issues Specific Sciences > Medicine Specific Sciences > Medicine > Psychiatry
Depositing User:	Dr. Elisabetta Lalumera
Date Deposited:	28 Oct 2024 12:10
Last Modified:	28 Oct 2024 12:10
Item ID:	24121
DOI or Unique Handle:	https://doi.org/10.1007/978-3-031-68881-2_8
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Medicine > Biomedical Ethics Specific Sciences > Artificial Intelligence > Classical AI General Issues > Ethical Issues Specific Sciences > Medicine Specific Sciences > Medicine > Psychiatry
Date:	October 2025
URI:	https://philsci-archive.pitt.edu/id/eprint/24121

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