Demographic Factors and Machine Learning Models in the Awareness and Experience of Using Artificial Intelligence Tool

Authors : Özel Sebetci

Pages : 88-97

Doi:https://doi.org/10.5281/zenodo.13953287

View : 2 | Download : 1

Publication Date : 2024-10-24

Article Type : Research Paper

Abstract :This study aims to analyze the awareness and experience of using artificial intelligence (AI) tools among different demographic groups across Turkey. The data collected through surveys were used to evaluate the impact of demographic variables such as age, gender, education level, and frequency of technology use on AI tools. The analyses conducted using correlation, regression, and machine learning models (Decision Trees, Random Forests, SVM, and LinearSVR) revealed that younger, educated, and frequent technology users are more familiar with AI tools. Additionally, tree-based models were found to perform better in predicting AI experience and awareness. These findings provide significant insights for the societal acceptance of AI tools and the broader dissemination of these technologies. Furthermore, targeted educational programs are necessary to bridge digital divides and ensure the effective use of AI technologies. The results of the study propose actionable strategies to enhance the effective utilization of AI tools in the digital transformation process.
Keywords : Artificial Intelligence (AI), Machine Learning Models, AI Awareness, AI Experience, Technology Usage.