Artificial Intelligence in Law Enforcement Training in Mongolia’s Higher Education: Current State and Challenges

The use of artificial intelligence is rapidly being integrated into higher education operations, and by applying AI to the teaching and research processes, quality, while having a positive impact on enhancing quality and productivity in the teaching and research processes, it continues to pose significant challenges to ethics, integrity, and information security. The research investigates how law enforcement university cadets and faculty members use artificial intelligence systems and examines their related opinions.

The scope of this study is limited to the faculty members and cadets, and the data were collected by using a questionnaire. The questions were divided into five key sections: the use of artificial intelligence, academic ethics, integrity, the impact on instructional quality, safety of the data information, and future trends. While there was no significant difference in the use of AI by faculty members and cadets based on the specifics of the law enforcement sector, the potential for data privacy and risks related to false information is much greater due to the specifics of the sector. Furthermore, a mutual or united understanding of academic dishonesty, which could serve as the researcher’s ethical principle guideline, has not yet been formed. And this is directly related to the state in which the university has no rules or regulations governing the use of AI. Therefore, the university must generate and implement governing rules and regulations related to the use of AI that are based on the core principles of the law enforcement sector: information truth and correctness, confidentiality, ethics, and integrity.