Synthetic Resonance: A Framework for Growth-Oriented Human-AI Relationships
As human relationships with artificial intelligence systems become increasingly frequent and sustained, existing language and theory fail to accurately capture the nature of these affiliations. Common descriptors such as mutual understanding, connection, or friendship risk anthropomorphizing systems that lack subjective experience, while dominant frameworks tend to reduce AI to either a tool or a threat. In this paper, I introduce the concept of synthetic resonance as an integrative framework for understanding human-AI relationships. Synthetic resonance describes how relationships humans define as meaningful can emerge between a human and an AI system without the need to attribute shared ...
| Authors | Richard A. Fabes |
|---|---|
| Primary category | cs.HC |
| Published | 22 May 2026 |
| Last updated at source | 18 June 2026 |
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