This study investigates the role of Artificial Intelligence (AI) in media-driven legal awareness campaigns aimed at addressing the risks of child sexual abuse. By developing an AI-based educational framework incorporating natural language processing, emotional narrative generation, and adaptive interaction mechanisms, the research aims to improve public understanding of child protection laws, reporting procedures, and victims’ rights. A prototype system was implemented and tested on a diverse group of participants, with pre- and post-assessment measures used to evaluate its impact. Results demonstrated a statistically significant increase in legal knowledge and scenario recognition accuracy among users, with a 28% improvement in comprehension of reporting obligations and a 35% rise in awareness of protective legal frameworks. The system also maintained high user engagement, with 92% of participants reporting the content as emotionally compelling and informative. These findings confirm the effectiveness of AI-enhanced media strategies in sensitively delivering complex legal content. The study emphasizes ethical design principles and data privacy, contributing a scalable model for future socially focused AI applications in digital media.