What is the accuracy of humanize ai writing?
The accuracy of AI writing is influenced by factors such as tool quality, usage scenarios, and content types, and there is currently no unified standard. The following is a specific analysis:
Differences in accuracy performance
Factual content: AI has high accuracy in generating factual content such as news reports and popular science articles, but if there are errors in the training data, it may lead to content distortion.
Viewpoint content: When it comes to subjective judgments (such as comments and discussions), AI has lower accuracy due to the lack of human emotions and values.
Tool difference: Professional tools (such as GPT-4) have an accuracy rate of over 90% in academic testing scenarios, while free or low-cost tools generate text with a similarity rate of up to 80%, which can easily lead to content flooding.
Testing Standard
The academic field usually requires that the AI generated content of papers be controlled below 20%, and the content of review or cited content can be relaxed to 30%. The tolerance for AI generated content varies significantly in different occasions, such as journals, conferences, and teaching reports.
Suggestions for improving accuracy
Choose professional tools and optimize instruction input, avoiding the use of low-priced or free tools.
Combining manual verification of key data and logical vulnerabilities, especially texts related to professional fields.
