AI-Driven Cognitive Influence Model in Strategic Communication and Ethical Challenges

Abstract

The rapid advancement of Artificial Intelligence (AI) in strategic communication has fundamentally redefined the generation, dissemination, and interpretation of information, raising critical concerns regarding its cognitive, ethical, and security implications. This study introduces the AI-driven Cognitive Influence Model (AI- CIM), a conceptual framework to examine how AI-personalized security narratives shape emotional resonance, perceptual alignment, and institutional trust. Through content analysis and selected case studies across political, crisis, and cybersecurity contexts, the research identifies patterns of algorithmically amplified messaging, reinforcement loops, and cognitive manipulation. In addition, a quantitative survey (n = 492) empirically validates the model's structural assumptions, confirming strong associations between emotional targeting, algorithmic awareness, and user trust. Findings highlight the dual nature of AI-mediated messaging as both a tool for enhancing informational clarity and a vector for disinformation and polarization. The study concludes with strategic policy recommendations promoting algorithmic transparency, ethical safeguards, and digital resilience.