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The plasticity of ChatGPT's mentalizing abilities: personalization for personality structures
Dorit Hadar-Shoval1, Zohar Elyoseph1,2,3, Maya Lvovsky3
1Department of Psychology and Educational Counseling, The Center for Psychobiological Research, Max Stern Yezreel Valley College, Emek Yezreel, Israel.
Frontiers in Psychiatry
|September 18, 2023
Summary
This study shows that ChatGPT can generate mentalizing-like responses tailored to specific personality disorders, like Borderline Personality Disorder (BPD) and Schizoid Personality Disorder (SPD). However, ethical considerations regarding bias in AI mental health tools are crucial.
Area of Science:
- Artificial Intelligence in Mental Health
- Computational Psychiatry
- Natural Language Processing
Background:
- Mentalization is key to understanding mental states.
- Borderline Personality Disorder (BPD) and Schizoid Personality Disorder (SPD) exhibit distinct emotional regulation patterns.
- AI's role in mental health requires careful evaluation.
Purpose of the Study:
- To assess ChatGPT's ability to generate mentalizing-like responses.
- To determine if these responses align with specific personality structures (BPD, SPD).
- To explore the potential of AI in understanding psychopathology.
Main Methods:
- Utilized ChatGPT (free version 23.3).
- Assessed emotional awareness (EA) using the Levels of Emotional Awareness Scale (LEAS).
- Compared ChatGPT's responses for BPD and SPD characteristics.
Main Results:
- ChatGPT accurately differentiated emotional intensity and complexity between BPD and SPD.
- AI-generated responses aligned with clinical and theoretical knowledge of these disorders.
- Identified potential for AI to simulate mentalizing capabilities.
Conclusions:
- ChatGPT demonstrates potential for generating tailored mentalizing-like responses.
- Raises concerns about AI bias and stigma in mental health applications.
- Stresses the need for responsible AI development in mental healthcare, considering diverse theories.
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