Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Three scenarios of development: a predictive psychobiography of ChatGPT
2
Zitationen
3
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.470 Zit.