Reforming and Exploring Criminal Science and Technology Experimental Teaching in Public Security Colleges in the Era of Artificial Intelligence

The rapid development of cloud computing, big data, cognitive science, and machine learning have led to the deepening application of information technology, particularly artificial intelligence (AI), in education. Generative artificial intelligence (AIGC), exemplified by ChatGPT, has significantly impacted the educational field. Criminal science and technology, a second-level subject under the first-level subject of public security technology, is characterized by its importance in maintaining social security and combating violent crimes. In the era of artificial intelligence, the teaching system of criminal science and technology, especially experimental teaching, is undergoing intelligent transformation, emphasizing the cultivation of students' application abilities in information systems. This paper analyzes the driving force behind the information construction of criminal science and technology, examines the influence of artificial intelligence on criminal science and technology teaching, and proposes a path for the reform of criminal science and technology teaching in the era of artificial intelligence. It provides a concrete framework for the construction of professional courses, particularly focusing on the reform of experimental teaching methodologies.