Recentering responsible and explainable artificial intelligence research on patients

Implications in perinatal psychiatry

Datos Bibliográficos

ID15529622
AutoresMeghan Reading Turchioe (0000-0002-6264-6320, Columbia University), Alison Hermann (0000-0002-7008-7602, Cornell University), Natalie C Benda (0000-0002-3256-0243, Columbia University, autor de correspondencia)
Año2024
Volumen14
Páginas1321265-1321265
Fecha de publicación2024-01-18
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1321265
PMID38304402
OpenAlexW4390975132
IdiomaEN
Referencias citadas63

In the setting of underdiagnosed and undertreated perinatal depression (PD), Artificial intelligence (AI) solutions are poised to help predict and treat PD. In the near future, perinatal patients may interact with AI during clinical decision-making, in their patient portals, or through AI-powered chatbots delivering psychotherapy. The increase in potential AI applications has led to discussions regarding responsible AI and explainable AI (XAI). Current discussions of RAI, however, are limited in their consideration of the patient as an active participant with AI. Therefore, we propose a patient-centered, rather than a patient-adjacent, approach to RAI and XAI, that identifies autonomy, beneficence, justice, trust, privacy, and transparency as core concepts to uphold for health professionals and patients. We present empirical evidence that these principles are strongly valued by patients. We further suggest possible design solutions that uphold these principles and acknowledge the pressing need for further research about practical applications to uphold these principles

Autonomy · Beneficence · Economic Justice · Political science · Psychiatry · Psychotherapist · Transparency (behavior · Computer Science · Grief, Bereavement, and Mental Health · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Neonatal and fetal brain pathology · Psychology