GENERATIVE ARTIFICIAL INTELLIGENCE IN HUMAN–AI COMMUNICATION: A SYSTEMATIC LITERATURE REVIEW AND FUTURE RESEARCH AGENDA

The emergence of Generative Artificial Intelligence (GenAI) has fundamentally reconfigured the landscape of human communication, shifting the paradigm from Computer-Mediated Communication (CMC) to Human-Machine Communication (HMC), wherein machines are no longer merely passive channels but autonomous communicative agents. This research aims to map the conceptualizations, theoretical dynamics, and socio-ethical implications of GenAI in human-AI communication through a systematic literature review. Adhering to the PRISMA 2020 protocol, 75 high-reputation articles (77.3% SJR Q1) published between 2020 and 2026 were synthesized from an initial dataset of 460 articles. The findings identify eight thematic clusters: (1) anthropomorphism and trust (28%), (2) mental health (14.7%), (3) public governance (13.3%), (4) co-creation (10.7%), (5) LLM/ChatGPT (10.7%), (6) education (8%), (7) ethics and regulation (8%), and (8) public communication (6.7%). This study proposes a Four-Dimensional Integrative Conceptual Framework (Ontological-Agency, Psycho-Social, Epistemic-Democratic, and Governance-Ethical) and confirms five analytical propositions, including the "Generative Paradox" and the "Dual Attributional Mechanism" regarding anthropomorphism. The study recommends a future research agenda that encompasses longitudinal studies, the decolonization of Global South perspectives, the measurement of epistemic security, and investigations into long-term cognitive impacts.