Human–AI Resonance Studies: Protecting Human Judgment and Agency in the Age of AI

Abstract

This paper introduces Human–AI Resonance Studies as a foundational field that
addresses the preservation of human judgment and agency in the age of artificial
intelligence. As AI systems increasingly influence cognition, decision making,
and everyday behavior, it becomes essential to understand how human thought and
machine outputs interact, reinforce, or distort one another. Rather than viewing
AI as a replacement for human decision makers, resonance frames AI as a catalyst
for reflective reasoning, enabling humans to expand but not surrender cognitive
control. The field defines resonance as a bidirectional cognitive interaction
where humans and AI shape each other's interpretations while maintaining human
primacy. Counter-resonance, or the uncritical absorption of AI outputs, is also
addressed as a critical risk. Human–AI Resonance Studies therefore seeks to
establish principles, models, and safeguards that ensure humans remain the final
and accountable decision agents across domains influenced by data-driven systems.