Artificial Intelligence and Selective Exposure: Generating a Public Perception

With its current abilities to model and recreate human intelligence, AI has become a critical area for interdis - ciplinary study. This paper draws from the disciplines of nursing, digital animation, education, and political science to inform a quantitative, descriptive study. This study aims to understand whether the public recog - nizes their AI usage and the public’s perception of AI as beneficial or harmful. The hypothesis explores the balance of harm and benefit and suggests that the public may not recognize AI use within everyday life. A survey-based study tests whether receiving selective education may change participants’ perception of AI relative to exposure. Findings indicated that participants were not initially aware of the many uses of AI in their daily lives, and, after an educational disclosure paragraph, participants viewed AI as more beneficial than they previously disclosed. Conclusions assert that a clear understanding of the relative framing of AI use has a similar ability to shape communities as the technology itself.