Is check for ai writing reliable?

The reliability of artificial intelligence writing needs to be comprehensively evaluated based on tool performance, usage scenarios, and potential risks:
Tool performance
At present, mainstream AI writing tools such as 68 Love Writing AI and Fengjun have achieved efficient generation of initial paper drafts, supporting long article creation (over 100000 words) and interdisciplinary coverage. They are supported by real literature databases and can automatically match the latest research results from academic platforms such as CNKI and VIP, generating text with standardized citations.  ‌
potential risk
Misjudgment by plagiarism detection system: Existing AI detection tools have a high misjudgment rate (such as self written content being highlighted in red or originality decreasing after AI polishing), and the difference in detection results between different platforms can reach more than 30%. Some students are forced to make repeated revisions due to misjudgments, and even incur additional costs to reduce the AI rate.  ‌
Content quality controversy: AI generated text may have logical loopholes or lack deep thinking, especially in complex academic scenarios that require manual proofreading. Experts point out that AI detection tools cannot accurately determine whether text is generated by AI, and some tools have a misjudgment rate of up to 46%.  ‌
Usage recommendations
Scenario adaptation: Short and fast content production (such as advertising copy) is more suitable for AI completion, while rigorous content such as academic papers requires deep manual optimization.
Duplicate checking strategy: It is recommended to combine artificial intelligence tools to assist writing, rather than relying solely on automated detection.  ‌