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.15336359
- Primary Topic
- Social Robot Interaction and HRI
- Type
- article
- Field-Weighted Citation Impact
- 0.00