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https://doi.org/10.3233/shti25...
Part of book or chapter of book . 2025 . Peer-reviewed
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Queen's University Research Portal
Part of book or chapter of book . 2025
License: CC BY NC
https://dx.doi.org/10.24451/ds...
Other literature type . 2025
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Hidden in Plain Sight: The Harmful Side of AI–Based Mental Health Interventions

Authors: Kerstin Denecke; Guillermo Lopez-Campos; Elia Gabarron;

Hidden in Plain Sight: The Harmful Side of AI–Based Mental Health Interventions

Abstract

Advances in Artificial Intelligence (AI) and other technologies together with increasing economic and care pressures have popularized the use and development of digital health solutions and interventions, in particular in mental health. Associated with this is an increase of demonstrated potential to harm patients. Using case studies showing harms to patients using AI-based mental health tools, we highlight the need to strengthen surveillance, via digitalovigilance. By this, we raise awareness on six competencies for citizens and users of digital health interventions that are necessary to reduce risks and improve patient safety.

Keywords

Mental Health Services, Artificial Intelligence, Mental Disorders, digital health, patient safety, Humans, risk assessment, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being, Patient Safety, artificial intelligence, Mental Disorders/therapy, Telemedicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
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