PREDICTORS OF ARTIFICIAL INTELLIGENCE ANXIETY AMONG UNIVERSITY STUDENTS

Abstract

Artificial intelligence anxiety that is an emerging issue, which is actually discomfort or fear toward artificial intelligence systems. The study aims at examining the predictors of artificial intelligence anxiety i.e. positive attitude toward artificial intelligence and negative attitude toward artificial intelligence. This research focuses on the psychological impact of artificial intelligence on university students. The data were collected and examined using statistical analysis. The study was based on cross- sectional survey research design. Participants comprised of 300 university students across Pakistan. Data were collected using convenient sampling technique. Two self-report measures including the General Attitude Towards Artificial Intelligence Scale (Schepman & Rodway, 2020) and Artificial intelligence scale (Terzi, 2020) were used. Psychometric properties and simple linear regression analysis were applied for testing the hypothesis. The findings revealed that positive attitude toward artificial intelligence reduces artificial intelligence anxiety whereas negative attitude toward artificial intelligence increases artificial intelligence anxiety.