Effects of artificial intelligence (AI) adoption in media campaigns of HIV North-Central Nigeria

Abstract

The aim of this paper is to evaluate the effect of artificial intelligence (AI) adoption in media campaigns on HIV and aids prevention in Nigeria. The sources of data for this study include primary and secondary sources. The primary source of data for this study include personal interview, reconnaissance survey and questionnaire administration. Secondary data used in this study were from published and unpublished materials. The methods of data analysis was frequency percentage. The finding shows that data-driven decision making ranked highest with 25.4% respondents, automated information delivery ranked second with 22.7% respondents, personalized messaging and content ranked third with 20.3% respondents, improved patient adherence ranked fourth with 17.7% respondents and resource optimization ranked the least with 6.4% respondents. This revealed that the major effects of AI in HIV/AIDS media campaigns is data-driven decision making. AI offers significant potential to transform HIV/AIDS media campaigns in Nigeria, improving reach, personalization, and data-driven decision-making. However, ethical considerations, data privacy, and capacity building must be addressed to ensure that AI is used responsibly and effectively to combat the epidemic. By addressing these challenges and focusing on equitable implementation, AI can play a significant role in transforming HIV/AIDS media campaigns in Nigeria and beyond, helping to reach more people, deliver more relevant information, and ultimately, reduce the spread of the virus.