Challenges of Using Artificial Intelligence at the University Level

The capacity of robots to mimic human thinking processes, especially in huge data systems for certain kinds of tasks, is known as artificial intelligence. The purpose of the study was to identify the barriers to artificial intelligence adoption at the university level. Research was quantitative in nature and a survey method was used to collect data. The population of this research is limited to all students enrolled in two public and two private universities located in the Lahore district. The 487 students were selected using a convenient sampling technique from two public and two private Universities in Lahore. Data was gathered by using a self-developed instrument. The data were analyzed through SPSS (Statistical Packages for Social Sciences). inferential statistics were used to calculate the data. Regarding the challenges posed by AI in higher education, male and female students' opinions did not significantly vary from one another. Universities should employ artificial intelligence, with explicit ethical principles for AI development that cover bias mitigation, student data protection, and responsible development. Keywords: Artificial Intelligence, Higher Education, Machine Learning