Abstract
Objective: To assess the Arabic validation of shinners artificial intelligence perception tool.
Methodology: The translation technique outlined here complied with the WHO guidelines on the development, translation, and validation of questionnaires, which has several benefits compared with the traditional translation techniques.
Results: The value of Kaiser-Meyer-Olkin (KMO) was 0.742, and the Bartlett's Test of Sphericity was significant (χ² 45) = 598.50, (p<0.001), indicating the adequacy of the sample for correlation and factor analysis. Three factors were extracted from the factor analysis, with the eigenvalues of >1. The total cumulative explained variation was about 39.4% which is modest but acceptable for a pilot study like this one.
Conclusion: The perceptions of Arabic-speaking healthcare professionals regarding AI use are structured across three domains, reflecting their attitudes towards its impact, preparedness, and ethical implications.

Key words: Artificial intelligence, healthcare providers, A.I perception, translation validation