introduction

We must be the master of artificial intelligence, not its tools.

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1. Academic ecological shock caused by technological innovation

Since 2023, generative AI tools that are considered to be rapidly popular in colleges and universities. A third-party survey shows that 62% of college teachers and students have high-frequency use behaviors, and 28% of students admit to using AI to generate content directly to complete academic tasks. This technological penetration is reshaping the academic production model: from literature reviews to data analysis, from paper framework construction to experimental data simulation, the intervention of AI tools has brought structural changes to traditional academic processes.

2. Deconstruction and reconstruction of academic ethics

At the technical level, the "non-original" characteristics of AI-generated content challenge traditional academic norms. Unlike the plagiarism behavior of direct copying and pasting, AI reorganizes knowledge elements through deep learning models, and the generated text has the characteristics of coexisting formal originality and content derivativeness. At the legal level, my country's Copyright Law has not yet clarified the ownership of AI-generated products, which has led to students' failure to declare that the use of AI may constitute a substantial misleading of academic originality.

New academic misconduct presents three major characteristics:

Industrialization of text production

AI-generated essays can be submitted with simple polishing. A certain university’s English course found 37% of AI-generated essays;

Intelligent data fraud

Deep forgery technology can generate realistic experimental data. 23% of papers withdrawn by a medical journal involve AI forgery data;

Degraded thinking ability

The survey shows that students who use AI for a long time have scored 19% in dimensions such as logical reasoning and critical thinking.

3. Innovative practices in college governance

Faced with technological impact, universities are building a multi-level governance system.

Fudan University has established a system of "Core link disabling Auxiliary link filing" to require students to sign an AI usage statement;

Beijing University of Posts and Telecommunications has developed a multimodal detection system that can identify 92% of AI-generated image tampering;

Tsinghua University has opened a compulsory course for "AI Academic Ethics" to cultivate responsible technology use ability through case teaching.

Tianjin University of Science and Technology sets the upper limit on the use of AI in graduation thesis (40%).

Wuhan University has established a hierarchical certification system for the use of AI, matching the tool permissions based on students' abilities.

4. The way to break through the double dilemma

The student group faces the contradiction between efficiency pursuit and ability development: 73% of respondents acknowledge that AI improves efficiency, but 58% are worried about technology dependence. The teacher group has encountered the dual challenges of lagging detection technology (the existing plagiarism check system recognizes AI texts less than 65%) and fuzzy evaluation standards. To this end, the education sector is promoting three reforms:

Standard setting

The Ministry of Education plans to issue the "Guidelines for the Academic Application of Artificial Intelligence in Higher Education Institutions" to clarify the list of "red, yellow and green" colors for AI;

Technical research

The National Key R&D Plan has established a special project "AI Academic Misconduct Detection" with the goal of achieving a text recognition accuracy of 95%;

Evaluation reform

Promote process assessment and include process materials such as research logs and interim defense into the evaluation system.

V. Conclusion

The controversy about "whether using AI is considered cheating" is essentially a microcosm of the impact of the wave of technology on traditional academic ethics. The disruptive power of AI not only brings efficiency revolution, but also calls for rule reconstruction. Colleges and universities, students and technology developers need to jointly explore a path of "respecting academics and making good use of tools" - let AI become an assistant to enlighten wisdom, rather than killing the shackles of innovation.

As UNESCO's Ethical Framework for Artificial Intelligence emphasizes: "Technical progress should not be at the expense of academic integrity, but should be an engine to promote knowledge innovation." Only by finding a balance between norms and innovation can AI truly become a helping, not a resistance to academic progress.