Abstract:

Examining public employees' anxiety levels with regard to artificial intelligence technologies is the primary goal of this study.. The research was conducted with public employees working in the public sector in Kastamonu province. Data was obtained from 393 public employees using the survey method, which is one of the quantitative research methods. SPSS 25 package program was used to analyze the data. Cronbach Alpha and KMO values were used for the reliability of the scales used in the research. The 16-item artificial intelligence anxiety scale (AIAS), which was created by Wang & Wang (2019), was utilized in the study, and it was translated into Turkish by Akkaya et al. (2021). The study employed the Anova test to compare more than two groups and the t test to compare paired groups. After analyzing the data, a significant difference was detected between the average artificial intelligence anxiety of public employees and the educational status and age of the participants, which are socio-demographic variables. However, no statistically significant difference was found between other socio-demographic variables and the artificial intelligence anxiety variable. Finally, it was concluded that the artificial intelligence anxiety levels of public employees are above the medium level. In the conclusion of the study, suggestions are presented to reduce the anxiety levels of public employees regarding artificial intelligence technologies. In this way, a more effective and efficient public administration system can be formed in the coming years.

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