AI Detect is a content analysis and decision-support system that helps institutions assess the likelihood of AI influence in written text. In addition, it provides guidance on revision and rewriting, supporting responsible improvement of content while maintaining human judgment and governance oversight.
Generative models can produce large volumes of fluent text in seconds, reshaping education, publishing, and online platforms.
Modern models are trained to match human writing distributions, making intuition-based judgment unreliable.
Traditional plagiarism or rule-based filters fail to address original yet AI-generated content.
AI Detect does not produce binary conclusions. It provides probabilistic signals and contextual indicators.
Educators, editors, and governance professionals remain responsible for final decisions.
Each signal corresponds to understandable linguistic or statistical characteristics.
Input Text
As artificial intelligence technologies continue to evolve, generative models are increasingly used in education and content creation, raising new governance challenges.
Analytical Signals
Short inputs lack sufficient statistical signals, increasing overlap between human and AI writing.
Human editing alters AI-generated text, making detection indicative rather than definitive.
As generative models evolve, governance and transparency matter as much as detection accuracy.