Abstract This paper introduces Human–AI Resonance Studies as a foundational field thataddresses the preservation of human judgment and agency in the age of artificialintelligence. As AI systems increasingly influence cognition, decision making,and everyday behavior, it becomes essential to understand how human thought andmachine outputs interact, reinforce, or distort one another. Rather than viewingAI as a replacement for human decision makers, resonance frames AI as a catalystfor reflective reasoning, enabling humans to expand but not surrender cognitivecontrol. The field defines resonance as a bidirectional cognitive interactionwhere humans and AI shape each other's interpretations while maintaining humanprimacy. Counter-resonance, or the uncritical absorption of AI outputs, is alsoaddressed as a critical risk. Human–AI Resonance Studies therefore seeks toestablish principles, models, and safeguards that ensure humans remain the finaland accountable decision agents across domains influenced by data-driven systems.
Hyun-soo Park (2026) studied this question.