Abstract: In recent years, academic misconduct has shown an alarming escalation trend.Particularly in the artificial intelligence environment, these improper behaviors have become more covert and complex,increasingly difficult to distinguish and identify. This study establishes a three-dimensional academic misconduct prevention system through enhancing stakeholder awareness, standardizing research integrity policies, and implementing advanced “dynamic adversarial” artificial intelligence generated content (AIGC) detection technologies (e.g., tracing with blockchain and neural network fingerprinting, deep learning algorithms, multimodal and cross-lingual detection).By integrating cognition, institution, and technology dimensions, the framework constructs a “value-driven-institutional-safeguarded-technology-empowered” synergistic governance model. Within dynamic environments, these three elements interact through synergistic effects and positive feedback loops to form governance synergy, providing innovative solutions for academic integrity construction.

Key words: artificial intelligence, academic misconduct prevention, academic ethics awareness, institutional safeguards, technology-enabled, cognition-institution-technology synergy-based, prevention system construction