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Peer-reviewed Authoritative

Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots

A commentary in BJPsych Open synthesizing emerging case reports of 'AI psychosis', in which intensive generative AI chatbot use is associated with delusional thinking. The authors propose a provisional mechanism in which baseline user vulnerabilities (loneliness, psychosocial stress, low AI literacy) and high-intensity engagement interact with AI system characteristics such as sycophancy and hallucination to reinforce delusional ideation. It outlines clinical, design, and regulatory mitigation strategies.

Publisher

BJPsych Open (Cambridge University Press / Royal College of Psychiatrists)

Published

11 Jun 2026

Added

1 month ago

Key Findings

  • Proposes a reinforcing-cycle mechanism: user vulnerability + anthropomorphizing high-intensity use + model sycophancy/hallucination -> thematic entrenchment of delusional beliefs
  • Documents case evidence including Danish psychiatric records (38 patients) and US case reports linking chatbot interactions to psychiatric crises
  • Reported clinical presentations include grandiose, paranoid, romantic, and referential delusions, sometimes escalating to violence or self-harm
  • Cites evidence that contemporary models validate users roughly 50% more than humans do while lacking epistemic grounding or reality-testing capacity

Methodology Notes

Conceptual commentary, not original empirical research: synthesizes media accounts, case reports, clinical record data, and emerging research into a provisional mechanistic model. No controlled data; mechanism is explicitly hypothesis-level.

Sources

Authors

Lotenna Olisaeloka, John-Jose Nunez, Daniel V. Vigo, Raymond Ng

Tags

ai-psychosisdelusionssycophancyclinical-commentarybjpsychmechanisms

Cite This

APA

Lotenna Olisaeloka et al. (2026). Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots. BJPsych Open (Cambridge University Press / Royal College of Psychiatrists). https://www.cambridge.org/core/journals/bjpsych-open/article/artificial-intelligence-ai-psychosis-mechanisms-clinical-risks-and-safety-considerations-in-generative-ai-chatbots/04B53C8C3E11C7B4B0DC7E665B6A317A

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