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Illusions of intelligence, connection and reality: Perils of large-language AI models for people with severe mental illness.

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Title: Illusions of intelligence, connection and reality: Perils of large-language AI models for people with severe mental illness.
Authors: Looi, Jeffrey CL (AUTHOR), Allison, Stephen (AUTHOR), Bastiampillai, Tarun (AUTHOR), Reutens, Sharon (AUTHOR), Looi, Richard CH (AUTHOR)
Source: Australasian Psychiatry. Feb2026, Vol. 34 Issue 1, p5-7. 3p.
Subjects: Mental illness, Psychoses, Language models, Bipolar disorder, Artificial intelligence, Risk assessment, Sensory perception, Mental depression
Abstract: For people with mental illnesses that impair reality testing, such as psychosis, severe depression and bipolar disorder, Artificial Intelligence (AI) Large-Language Models (LLMs) may represent threats to mental health. LLMs are unable to detect delusional beliefs, may encourage and validate delusions and cognitive distortions, miss opportunities to reinforce reality-based thinking, and exacerbate risks of self-harm and harm to others. Psychiatrists need to understand these risks of LLMs for people with severe mental illnesses, and educate patients and carers on avoiding these potential harms. Risk assessments need to be informed by an awareness of the inputs that patients receive from LLMs. [ABSTRACT FROM AUTHOR]
Copyright of Australasian Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Illusions of intelligence, connection and reality: Perils of large-language AI models for people with severe mental illness.
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  Data: <searchLink fieldCode="AR" term="%22Looi%2C+Jeffrey+CL%22">Looi, Jeffrey CL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Allison%2C+Stephen%22">Allison, Stephen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bastiampillai%2C+Tarun%22">Bastiampillai, Tarun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reutens%2C+Sharon%22">Reutens, Sharon</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Looi%2C+Richard+CH%22">Looi, Richard CH</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Australasian+Psychiatry%22">Australasian Psychiatry</searchLink>. Feb2026, Vol. 34 Issue 1, p5-7. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Psychoses%22">Psychoses</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink>
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  Data: For people with mental illnesses that impair reality testing, such as psychosis, severe depression and bipolar disorder, Artificial Intelligence (AI) Large-Language Models (LLMs) may represent threats to mental health. LLMs are unable to detect delusional beliefs, may encourage and validate delusions and cognitive distortions, miss opportunities to reinforce reality-based thinking, and exacerbate risks of self-harm and harm to others. Psychiatrists need to understand these risks of LLMs for people with severe mental illnesses, and educate patients and carers on avoiding these potential harms. Risk assessments need to be informed by an awareness of the inputs that patients receive from LLMs. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Australasian Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=191011355
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              Text: Feb2026
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