Keywords:
AI-mediated communication
communication agent
artificial intelligence (AI)
ethical transparency
AI decision maker
human-AI interaction

  • Abstract

    The development of artificial intelligence (AI) has created a paradigmatic transformation in human communication, from the era of Computer-Mediated Communication (CMC) to AI-Mediated Communication (AI-MC). This conceptual article uses a narrative review approach to explore the evolution of AI from a passive communication tool to an active communication agent capable of making decisions and influencing interaction outcomes independently. This study develops a Human-AI Communication (HA-C) framework that includes a four-level hierarchical model of AI agency: reactive agent, adaptive agent, proactive agent, and strategic agent. The introduced concept of distributed agency demonstrates that communication agency is no longer a human monopoly but can be distributed between humans and AI through mechanisms such as context analysis, intent recognition, response generation, and continuous evaluation. The research identifies complex ethical challenges including transparency, accountability, data privacy, algorithmic bias, and AI hallucinations. The international regulatory landscape shows significant fragmentation, with the EU developing a comprehensive AI Act while many countries are still in the early stages of developing regulatory frameworks. The HA-C framework contributes to communication theory by expanding the concept of agency beyond a human-centric perspective and introducing active mediation. The future vision points toward a symbiotic human-AI relationship that enhances communication capabilities while preserving fundamental human values.

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Revolusi, P., & Febriandy, R. K. (2025). Human AI communication (HA-C): Transforming the role of technology in human interaction. Multidisciplinary Science Journal, 8(3), 2026201. https://doi.org/10.31893/multiscience.2026201
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