A new theoretical model known as Human-Artificial Intelligence Interaction Outcomes (HAI-IO) by Thomasian academic researcher Rae Francis Quilantang has been published in the journal “Human Machine Communication.”
In the article, Quilantang of the Department of Communication emphasized the “mutual adaptation” that humans and artificial intelligence engage in as AI adapts through predictive processing and humans adjust based on AI feedback. With the new model, Quilantang hopes to inform AI system design, user education, and policy, especially as ethical oversight is needed.
The interdisciplinary framework bridges communication theory, computational learning paradigms, and social exchange frameworks and provides a foundational framework for further studies.
The open-access paper may be read here: https://doi.org/10.30658/hmc.10.9