Is ai writing detection technology mature now?

The maturity of ai writing detection technology is mainly reflected in its detection accuracy. Currently, there are detection tools that can achieve an accuracy rate of over 99%, but there are still limitations in practical applications. ‌
state-of-the-art
The existing AI text detection technology can effectively recognize AI generated text by analyzing text generation patterns through algorithms, with an accuracy rate generally exceeding 90%, and some detectors even have an accuracy rate of over 99%. These technologies have been applied in university paper detection scenarios, effectively identifying duplicate content and AI generated text. ‌
Practical application challenges
Difficulty in recognizing complex text: For highly abstract or structurally complex text, AI may not be able to accurately determine its source of generation. ‌
Risk of technology abuse: Some students use AI tools to generate paper content, but there are issues such as high information error rates and empty content, resulting in warning results. ‌
Regulatory lag: With the advancement of AI technology and the improvement of generated text quality, detection technology needs to be continuously updated to address new challenges. ‌
Overall, AI writing detection technology has reached a high level, but it needs to be combined with manual review to cope with complex scenarios.