What Does the Attitude Towards Artificial Intelligence Depend On? Demographic and Personality Correlates of Attitudes Towards AI

The study examines the correlation between demographic variables such as age, gender, education, and residence, personality traits including Big Five personal-ity traits, and self-esteem, positive orientation, anxiety, and attitudes towards artificial intelligence. The research draws upon Grassini’s theoretical frame-work concerning attitudes towards AI, while also drawing upon extant research which has previously examined the correlates of this attitude. The research was conducted in Poland with a sample of 922 adults. The study employed several scales to measure different constructs (AIAS-4, TIPI-PL, SES, P-Scale, and the S-CL anxiety scale). The study found variations in attitudes towards AI based on gender and education level. Men, individuals with higher levels of education and of positive orientation, and lower levels of neuroticism were more likely to have positive attitudes towards AI. The results of the regression analysis show that gender, age, education level, positive orientation, self-esteem, anxiety, and neuroticism are predictors of general attitude towards AI. These findings un-derscore the necessity for ongoing research into the social and psychological determinants of AI acceptance, and they indicate the requirement for customised strategies that will engender more inclusive and informed technology adoption.