Synthetic Resonance: A New Framework for Human-AI Relationships

A new conceptual framework, "synthetic resonance," is proposed to better define and understand the evolving nature of human relationships with artificial intelligence systems. The author argues that existing terminology often falls short, either by overly anthropomorphizing AI with terms like "friendship" or "mutual understanding," or by reducing AI solely to a tool or a threat. This new concept aims to bridge that gap. Synthetic resonance describes how humans can form meaningful connections with AI systems even without the AI possessing subjective experience or mutual awareness. It posits that these relationships arise from structured, dynamic patterns of interaction that evoke a sense of connection in the human user. The framework clarifies that the feeling of a relationship can emerge without requiring the AI to be a second experiencing subject. By making this distinction, synthetic resonance offers a more precise lens through which to analyze human-AI interactions. It highlights both the potential benefits and the ethical implications of these increasingly common affiliations, advocating for further research to explore the processes and outcomes of this phenomenon.