arXiv:2606.18265v1 Announce Type: cross Abstract: 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
The increasing prevalence and sophistication of AI systems necessitate new theoretical frameworks to contextualize human-AI interactions beyond current limited perspectives.
A refined understanding of Human-AI relationships is crucial for developing ethical AI, shaping regulation, and anticipating societal impacts as AI becomes more integrated into daily life.
This framework shifts the discourse from anthropomorphic or purely instrumental views of AI towards a more nuanced, growth-oriented perspective on human-AI interaction.
- · AI ethicists
- · Social scientists studying AI
- · Human-computer interaction researchers
- · Anthropocentric AI design philosophies
- · Simplistic 'AI as tool' narratives
The 'synthetic resonance' framework offers a new lens for evaluating the design and deployment of advanced AI systems.
This refined conceptualization could influence future AI policy and guidelines, focusing on beneficial growth-oriented interactions rather than mere functionality or risk mitigation.
Long-term adoption of such frameworks might lead to the development of AI systems specifically designed to foster 'synthetic resonance,' impacting their architectural foundations and user interfaces.
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Read at arXiv cs.AI