Abstract
The mass use of AI applications is transforming human-AI interaction while uncovering and intensifying AI anxieties. To measure these anxieties in German-speaking populations, this study translates and psychometrically evaluates the Artificial Intelligence Anxiety Scale (AIAS) [31]. In contrast to a concurrently German published version by Hajek et al. [9] exploratory factor analysis (EFA) is employed to test whether a distinct anxiety structure emerges from the data. A quota sample (N = 225) with balanced age and gender representation completed an online survey. The full scale (α = .95) and subscales (α = .85-.96) demonstrated good to excellent reliability. EFA identified four factors: learning, AI configuration, replacement, and socio-technical blindness, largely consistent with the original English structure. Five items required removal, suggesting cultural and linguistic specificity. Limitations include the sample’s composition and the factor characteristics. The German AIAS provides a reliable instrument for human-AI interaction research and targeted anxiety interventions.