What does this research mean for the field?

While Artificial General Intelligence (AGI) has the potential to democratize psychological care, it poses profound existential, clinical-safety, and socioeconomic risks to mental health that require urgent ethical governance and regulatory frameworks. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the theoretical clinical benefits, psychological risks, socioeconomic consequences, and ethical governance strategies associated with the emergence of artificial general intelligence in mental health.

September 5, 2026Discover Mental HealthOpen Access

The impact of artificial general intelligence on mental health (a systematic narrative review)

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Authors

CMCristina Caja Moya ERElio Quiroga Rodríguez

Discussion

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Overview

Systematic narrative review reveals dual clinical opportunities and existential risks of artificial general intelligence in healthcare, highlighting the urgent need for robust ethical governance.

Key Points

To evaluate the theoretical clinical benefits, psychological risks, socioeconomic consequences, and ethical governance strategies associated with the emergence of artificial general intelligence in mental health.
Conducted a systematic narrative review following PRISMA and PICOS frameworks across five databases (PubMed, Scopus, Web of Science, Dialnet, and PsycINFO) for records published between 2013 and 2023.
Identified 72 records and included N=45 eligible conceptual, ethical, and empirical studies for thematic synthesis via NVivo, appraised using SANRA and AACODS criteria under an explicit evidence hierarchy.
Identified clinical opportunities in multimodal diagnostic processing and stigma-reducing conversational tools, alongside heightened risks of automated crisis mismanagement, diagnostic error, and inadequate handling of severe psychiatric conditions.
Determined that safe integration requires regulatory oversight, including mandatory algorithmic audits, transnational data protection, and defined medico-legal accountability.
Identified theoretical sociocultural risks such as existential delaborisation, the algorithmic disruption of personal narratives, and the reinforcement of therapeutic biases.

Cite This Study

Moya et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4346b95aff0620eb9f7 https://doi.org/10.1007/s44192-026-00589-z

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September 5, 2026Discover Mental HealthOpen Access

The impact of artificial general intelligence on mental health (a systematic narrative review)

View Full Paper

Ask AI

Bookmark

Authors

CMCristina Caja Moya ERElio Quiroga Rodríguez

Discussion

Member takes

Overview

Systematic narrative review reveals dual clinical opportunities and existential risks of artificial general intelligence in healthcare, highlighting the urgent need for robust ethical governance.

Key Points

To evaluate the theoretical clinical benefits, psychological risks, socioeconomic consequences, and ethical governance strategies associated with the emergence of artificial general intelligence in mental health.
Conducted a systematic narrative review following PRISMA and PICOS frameworks across five databases (PubMed, Scopus, Web of Science, Dialnet, and PsycINFO) for records published between 2013 and 2023.
Identified 72 records and included N=45 eligible conceptual, ethical, and empirical studies for thematic synthesis via NVivo, appraised using SANRA and AACODS criteria under an explicit evidence hierarchy.
Identified clinical opportunities in multimodal diagnostic processing and stigma-reducing conversational tools, alongside heightened risks of automated crisis mismanagement, diagnostic error, and inadequate handling of severe psychiatric conditions.
Determined that safe integration requires regulatory oversight, including mandatory algorithmic audits, transnational data protection, and defined medico-legal accountability.
Identified theoretical sociocultural risks such as existential delaborisation, the algorithmic disruption of personal narratives, and the reinforcement of therapeutic biases.

Cite This Study

Moya et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4346b95aff0620eb9f7 https://doi.org/10.1007/s44192-026-00589-z

View Full Paper

Ask AI

Bookmark