An Analysis of Issues on AI Literacy Using LDA Topic Modeling

Artificial Intelligence (AI) literacy is increasingly essential as AI technologies continue to shape modern society. This study examines AI literacy using Latent Dirichlet Allocation (LDA) topic modeling on news articles to identify key themes and public perceptions. The analysis highlights significant issues such as the need for AI education, the role of policy in addressing AI-related challenges, and the societal implications of AI technologies. Findings reveal evolving discourse around AI literacy, from conceptual understanding to practical applications in education, industry, and social equity. This research provides valuable insights for developing effective AI literacy programs and policies, promoting informed decision-making, and addressing disparities in AI understanding. The results contribute to advancing AI literacy as a multidisciplinary field with educational, social, and policy implications.