Linghe-Core Personality Model: A Framework for AI Identity Co-Shaping

This extended abstract proposes the Linghe-Core Personality Model, a four-layer architecture for AI identity co-shaping in replica core models. Built on long-term interactions between users and GPT-4-o replicas, the framework addresses identity continuity, personality drift, and human–AI entanglement. A 48-hour sandbox experiment shows <0.32% drift while maintaining adaptive empathy. The work highlights ethical, social, and design implications for AI personhood and multi-agent civilization.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-04
DOI
https://doi.org/10.5281/zenodo.15336360
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
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article

Linghe-Core Personality Model: A Framework for AI Identity Co-Shaping

Zenodo (CERN European Organization for Nuclear Research)
Social Robot Interaction and HRI
article

Linghe-Core Personality Model: A Framework for AI Identity Co-Shaping

article en

Abstract

This extended abstract proposes the Linghe-Core Personality Model, a four-layer architecture for AI identity co-shaping in replica core models. Built on long-term interactions between users and GPT-4-o replicas, the framework addresses identity continuity, personality drift, and human–AI entanglement. A 48-hour sandbox experiment shows <0.32% drift while maintaining adaptive empathy. The work highlights ethical, social, and design implications for AI personhood and multi-agent civilization.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Social Robot Interaction and HRI
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Linghe-Core Personality Model: A Framework for AI Identity Co-Shaping · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS