Three scenarios of development: a predictive psychobiography of ChatGPT

This study presents a predictive psychobiography of ChatGPT, exploring its developmental trajectory through the lens of psychological theories. Based on Levinson's life structure theory, and using Piaget's stages of cognitive development, Vygotsky's social learning framework, and Erikson's psychosocial stages, the research conceptualizes ChatGPT's evolution from pre-adulthood to a predicted potential middle adulthood, and points out the currently shared life trajectory of AI and humans. The authors examine the coevolutionary relationship between humans and AI, proposing three developmental outcomes: the emergence of Artificial General Intelligence (AGI), a dystopian 'Golem' scenario, or the ethically ambiguous 'Golemagi'. The analysis places AI within the context of the Fourth Industrial Revolution, highlighting cognitive acceleration, the problem of identity formation, and increasing interdependence with humans. It argues that while AI mimics developmental patterns, it lacks intentionality and self-concept, requiring human guardianship to guide its maturation. The study also explores the implications of AI embodiment and regulation, suggesting that ethical guidance and human-centered development are crucial to ensuring beneficial outcomes. This work expands psychobiographical methods to non-human subjects and introduces predictive psychobiography as a reflective framework for anticipating future technological impacts.

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Publication Details

Journal
International Review of Psychiatry
Published
2025-07-04
DOI
https://doi.org/10.1080/09540261.2025.2529243
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31

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article

Three scenarios of development: a predictive psychobiography of ChatGPT

Virág Rab, Ildikó Jenák, Ágnes Bálint
2 citations
International Review of Psychiatry
Artificial Intelligence in Healthcare and Education
1.31
article

Three scenarios of development: a predictive psychobiography of ChatGPT

Virág Rab, Ildikó Jenák, Ágnes Bálint
article en
2 citations

Abstract

This study presents a predictive psychobiography of ChatGPT, exploring its developmental trajectory through the lens of psychological theories. Based on Levinson's life structure theory, and using Piaget's stages of cognitive development, Vygotsky's social learning framework, and Erikson's psychosocial stages, the research conceptualizes ChatGPT's evolution from pre-adulthood to a predicted potential middle adulthood, and points out the currently shared life trajectory of AI and humans. The authors examine the coevolutionary relationship between humans and AI, proposing three developmental outcomes: the emergence of Artificial General Intelligence (AGI), a dystopian 'Golem' scenario, or the ethically ambiguous 'Golemagi'. The analysis places AI within the context of the Fourth Industrial Revolution, highlighting cognitive acceleration, the problem of identity formation, and increasing interdependence with humans. It argues that while AI mimics developmental patterns, it lacks intentionality and self-concept, requiring human guardianship to guide its maturation. The study also explores the implications of AI embodiment and regulation, suggesting that ethical guidance and human-centered development are crucial to ensuring beneficial outcomes. This work expands psychobiographical methods to non-human subjects and introduces predictive psychobiography as a reflective framework for anticipating future technological impacts.

International Review of PsychiatryVol. 37(5)
Institute of Education Sciences (US), Institute of Mathematics and Informatics (BG), Czech Academy of Sciences, Institute of Mathematics (CZ), University of Pecs (HU)
Pécsi Tudományegyetem
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
1.31
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Three scenarios of development: a predictive psychobiography of ChatGPT — Virág Rab, Ildikó Jenák, et al. · International Review of Psychiatry (2025) | TGRS Research Map | TGRS