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The plasticity of ChatGPT's mentalizing abilities: personalization for personality structures.

作者信息

Hadar-Shoval Dorit, Elyoseph Zohar, Lvovsky Maya

机构信息

Department of Psychology and Educational Counseling, The Center for Psychobiological Research, Max Stern Yezreel Valley College, Emek Yezreel, Israel.

Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.

出版信息

Front Psychiatry. 2023 Sep 1;14:1234397. doi: 10.3389/fpsyt.2023.1234397. eCollection 2023.


DOI:10.3389/fpsyt.2023.1234397
PMID:37720897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10503434/
Abstract

This study evaluated the potential of ChatGPT, a large language model, to generate mentalizing-like abilities that are tailored to a specific personality structure and/or psychopathology. Mentalization is the ability to understand and interpret one's own and others' mental states, including thoughts, feelings, and intentions. Borderline Personality Disorder (BPD) and Schizoid Personality Disorder (SPD) are characterized by distinct patterns of emotional regulation. Individuals with BPD tend to experience intense and unstable emotions, while individuals with SPD tend to experience flattened or detached emotions. We used ChatGPT's free version 23.3 and assessed the extent to which its responses akin to emotional awareness (EA) were customized to the distinctive personality structure-character characterized by Borderline Personality Disorder (BPD) and Schizoid Personality Disorder (SPD), employing the Levels of Emotional Awareness Scale (LEAS). ChatGPT was able to accurately describe the emotional reactions of individuals with BPD as more intense, complex, and rich than those with SPD. This finding suggests that ChatGPT can generate mentalizing-like responses consistent with a range of psychopathologies in line with clinical and theoretical knowledge. However, the study also raises concerns regarding the potential for stigmas or biases related to mental diagnoses to impact the validity and usefulness of chatbot-based clinical interventions. We emphasize the need for the responsible development and deployment of chatbot-based interventions in mental health, which considers diverse theoretical frameworks.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e088/10503434/1375d8e3a4d4/fpsyt-14-1234397-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e088/10503434/1375d8e3a4d4/fpsyt-14-1234397-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e088/10503434/1375d8e3a4d4/fpsyt-14-1234397-g001.jpg

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引用本文的文献

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The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review.

JMIR Ment Health. 2025-6-27

[2]
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[3]
Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

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[4]
A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education.

Healthcare (Basel). 2025-5-21

[5]
Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.

JMIR Ment Health. 2025-5-15

[6]
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J Med Internet Res. 2025-5-5

[7]
The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study.

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[8]
The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis.

Front Digit Health. 2025-2-4

[9]
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[10]
Large Language Models for Mental Health Applications: Systematic Review.

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本文引用的文献

[1]
Beyond human expertise: the promise and limitations of ChatGPT in suicide risk assessment.

Front Psychiatry. 2023-8-1

[2]
ChatGPT outperforms humans in emotional awareness evaluations.

Front Psychol. 2023-5-26

[3]
"I Do Not Know How You Feel and How I Feel About That": Mentalizing Impairments in Machado-Joseph Disease.

Cerebellum. 2024-8

[4]
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.

Perspect Psychol Sci. 2023-9

[5]
Assessing the Impact of Conversational Artificial Intelligence in the Treatment of Stress and Anxiety in Aging Adults: Randomized Controlled Trial.

JMIR Ment Health. 2022-9-23

[6]
Dissociation of basolateral and central amygdala effective connectivity predicts the stability of emotion-related impulsivity in adolescents and emerging adults with borderline personality symptoms: a resting-state fMRI study.

Psychol Med. 2023-6

[7]
Artificial Intelligence and Chatbots in Psychiatry.

Psychiatr Q. 2022-3

[8]
An fMRI study of cognitive reappraisal in major depressive disorder and borderline personality disorder.

Eur Psychiatry. 2021-9-1

[9]
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2021-9

[10]
A Call to Action. A Critical Review of Mental Health Related Anti-stigma Campaigns.

Front Public Health. 2020

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