Provide a model of employees' perception of artificial intelligence at work using data-based techniques

Previous studies have shown that employees are confused about the use of artificial intelligence at work and some of them have fears and stress due to ignorance and unemployment, as well as little empirical research on the level of awareness and perception. There are employees of artificial intelligence at work, so this study seeks to provide an empirical model for employees' perception of artificial intelligence at work using the foundation data technique.

The present research method is applied in terms of purpose, with a qualitative-exploratory approach and in terms of implementation using data-based technique. The instrument used was a semi-structured interview with experts in this field, including professors and administrative managers of Amin University of Law Enforcement Sciences, whose number was selected using targeted snowball sampling based on the saturation principle, 12 people.

The results showed that a total of 43 categories and 443 statistical codes were set in the form of five causal categories, contexts, interventions, strategies and consequences.

New criteria were created for this study, which show how employees feel about replacing their jobs with smart technologies, and how they can digest and use career advancement and technological knowledge in the light of artificial intelligence.