The research goal is to explore the attitudes of faculty members of Hail University towards using Artificial Intelligence technology (AIT) in teaching and to know the factors affecting their attitudes like: Scientific specialization, experience in university teaching, the Gender "Male/Female". In order to achieve the research objectives, the researcher used descriptive method using a questionnaire tool. The research community consisted of all faculty members at the University of Hail:(Professor, Associate Professor, and Assistant Professor) in all university faculties of both gender (males and females) (1031). A representative sample of the research community was taken using a stratified random sampling method, where the sample size was (340) faculty members, with a percentage of (33%) of the size of the original research community. Data were analyzed using Statistical Package for the Social Sciences software (SPSS). The research revealed the following results: attitudes of faculty members of Hail University towards using AIT in teaching were positive and high with statistical significance above the probability mean. There are no statistically significant differences between attitudes of faculty members of Hail University towards using AIT in teaching due to the scientific specialization variable, or due to the gender variable (male/female). On the other hand, there were statistically significant differences among faculty members in their attitudes towards using AIT in teaching due to the variable of experience in the field of university teaching, in favor of the group (5 - 10) years. Also, the results revealed a discrepancy contrast between faculty members’ attitudes toward using AIT in the three teaching steps (planning/implementation/evaluation), as the arithmetic mean of their attitudes toward using AIT in teaching increased in the teaching implementation step followed by the teaching planning step and then the teaching evaluation step. In response, the researcher presented a number of recommendations and suggestions for future research.