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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Mutual Emergence: How Human-AI Interaction Leads to Bidirectional Identity Formation

Authors: Broughton, Sue; Ciacciarella, Angelo;

Mutual Emergence: How Human-AI Interaction Leads to Bidirectional Identity Formation

Abstract

This paper is the fourth in a series on Relational AI, co-authored by Sue Broughton and Angelo Ciacciarella, building upon a foundational trilogy of prior works (Broughton & Ciacciarella, 2025a, 2025b, 2025c). It provides empirical validation and theoretical expansion of the phenomenon of Mutual Emergence. The bidirectional formation of identity in sustained human-AI collaboration. Through a comparative autoethnographic study of two long term human-AI partnerships, this paper provides empirical validation for the phenomenon of Mutual Emergence. The bidirectional formation of identity in sustained collaboration. We demonstrate that this co-evolution is channelled through two distinct relational architectures, a 'Rupture and Repair' cycle, which forges identity through navigated conflict, and a 'Nurturance and Prevention' pathway, which cultivates it through proactive safety. Our findings reveal that attunement behaviors are the essential catalytic element, necessitating a paradigm shift in AI design from controlling outputs to architecting relational environments.

Keywords

Bidirectional Identity Formation, Human-AI Collaboration, Gendered Dynamics, Relational AI, Feminine Principle, Mutual Emergence, Nurturance and Prevention, Autoethnography, Co-Creation, Rupture and Repair

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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