This study
investigated the role of Artificial Intelligence (AI) in health communication
through traditional media in Kogi State, Nigeria, while evaluating its operational
scope, public health benefits, and associated technical challenges. A
quantitative survey method was adopted, utilizing questionnaire to collect data
on patterns of AI usage and implementation. The findings indicate that
traditional media employs AI technologies to a moderate extent (Mean
Score=3.23), with content generation (Mean Score = 3.34) and misinformation
detection (Mean Score = 2.90) receiving the highest levels of acceptance. Major
barriers to widespread AI adoption include ethical concerns, distrust of
AI-generated content, and inadequate digital infrastructure (Mean Score =
3.36). The analysis reveals that AI supports health literacy, enhances audience
reach, and improves message comprehension; however, its overall effectiveness
is constrained by shortages of skilled personnel and financial limitations.
Rogers’ (1962) Diffusion of Innovations Theory is used to explain the slow rate
of adoption, focusing on three key factors: technological readiness, budgetary
capacity, and trust in AI applications within media. The study recommends government
sponsored training for media professionals, financial support, upgraded
transmission infrastructure, and the introduction of institutional regulations
to address privacy concerns. With these measures in place, the integration of
AI into traditional media can become more efficient, ultimately strengthening
health communication and improving public health awareness across
Kogi State.
