Design Principles of AI and a Dual-Layer Protection Mechanism Against Academic Plagiarism

Abstract

With the rapid integration of AI into academic writing, Large Language Models (LLMs) have significantly enhanced researchers' ability to express their ideas. However, they have also facilitated plagiarism and, to some extent, weakened originality in research. This study reveals and analyzes the structural contradictions between AI-driven academic optimization and the necessity for scholarly innovation. Based on this analysis, we propose a novel dual-layer protection mechanism that ensures AI enhances linguistic expression without compromising research originality. Additionally, this study introduces a foundational mechanism to prevent AI from being exploited for academic misconduct, thereby safeguarding academic integrity and fostering sustainable technological innovation.

Keywords: AI-Generated Plagiarism, Academic Integrity, Innovation Protection Mechanism, Academic Optimization, Textual Manipulation