Predictors of Attitudes Toward Artificial Intelligence:The Roles of Demographics, Personality Attributes, Sustainability Attitudes, and Generativity

Artificial intelligence (AI) and sustainability have become increasingly intertwined. Understanding the factors that shape public attitudes toward these domains is crucial for fostering responsible adoption. This study examined how personality attributes, generativity concern, sustainability attitudes, demographic characteristics, financial comfort, and parenthood status predict attitudes toward AI among UK adults. A survey of 176 participants (64.2% female; M age = 41.35, SD = 14.19) employed the Personal Attributes Questionnaire, Loyola Generativity Scale, Attitudes Toward Artificial Intelligence Scale, and Sustainability Attitudes Scale.Multiple regression analyses indicated that AI attitudes were significantly predicted by male gender (β = .283, p < .001), careful budgeting (β = −.208, p = .019), student status (β = −.193, p = .049), and Asian Indian ethnicity (β = .174, p = .021). Personality attributes did not significantly predict AI attitudes; however, feminine traits were positively associated with sustainability attitudes (β = .353, p < .001). Generativity concern was significantly related to sustainability attitudes (β = .287, p < .001) but showed only a marginal association with AI attitudes (β = .136, p = .072). The final model explained 39.6% of the variance in AI attitudes (R² = .396, p < .001), with demographic variables accounting for 37.1%.These findings suggest that demographic characteristics, rather than personality traits or sustainability attitudes, primarily shape attitudes toward AI, underscoring the importance of demographic diversity and social context in AI development.