Knowledge of AI use and prediction of AI adoption among selected residents in the greater Kumasi area of Ghana

Abstract

Artificial intelligence (AI) technologies are rapidly changing communities and societies and have had a significant impact on the way of life of individuals. Yet, understanding the influence of AI adoptionamong people of different sociodemographic backgroundAsocio-demographic , especially in non-Western settings, remains limited. This study examines the knowledge of AI use and the prediction of AI adoption among residents in the Greater Kumasi area of Ghana. The study employed a cross-sectional survey of 407 residents using a multistage sampling technique. The study examined how socio-demographic factors (age, education, gender) influence the perceived usefulness of AI among residents in the Greater Kumasi area and further assessed how AI knowledge and confidence shaped the perceived ease of use of AI among the selected residents. Data was analysed both descriptively presented using frequency distribution and inferentially by way of a binary logistic regression, with a p-value < 0.05 considered statistically significant. Results show that most participants are aware of and use AI with high confidence. The logistic regression analysis showed that the level of education, age, knowledge and confidence in AI are determinants of AI adoption. Our findings reflect the literature on technology adoption pathways. These findings contribute to AI adoption literature in non-Western settings with implications for promoting AI education with targeted outreach programmes.

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