Who fears Generative Artificial Intelligence? Scale development and predictors of fears towards GenAI

This study developed and validated the Fears Towards Generative Artificial Intelligence scale, a novel instrument assessing individuals’ concerns about emerging generative AI technologies, which are increasingly integrated into daily life. Drawing on qualitative data from three focus groups and subsequent quantitative validation with 303 participants, we initially derived 37 items that captured diverse fears, including concerns about job displacement, social inequalities, and loss of human autonomy commonly associated with generative AI systems. Exploratory factor analyses supported a unidimensional structure of the scale, demonstrating strong reliability and content validity. Regression models revealed that negative attitudes towards AI and perceived threats to employment were key predictors of heightened fear, while greater usage and familiarity were linked to reduced fear. We also present a short 4-item version of the scale generated by a genetic algorithm and tested with 101 new participants which presents good psychometric properties. The FTGAI scale addresses a critical measurement gap and offers a comprehensive tool for researchers and policymakers seeking to understand and mitigate fears towards generative AI’s growing societal impact.