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A.I. detection for educators

It is getting closer to when we can make sure students are learning and not tech-plagiarizing with A.I.

There is finally a decent A.I. check for free at Gptzero.me. Despite this, there efforts lack a complete safety check on A.I. written work for school or college. I believe that a solution lies in creating a baseline that will establish how the student writes by creating three papers written and monitored at the start of the year that allows psychological applications to establish a good reference checker.

The ability to cheat on major exams and test on all levels is dangerous, could you just imagine your surgeon or lawyer never passing his required testing for his career? Thankfully, I believe that creating a controlled psychological baseline for writing and logic may allow the algorithms and programs work for A.I. detection. Below is listed a brief overview of applying this methodology for implementing a combined system for A.I. detection. Feel free to test the Gptzero.me website it is free and verified safe and it you like send me your thoughts or a draft to test with ongoing software development.

Testing A.I. writing verse human for determination in a university, school, learning institute

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Data Collection and Monitoring: Collect the authenticity.

Feature Extraction: Extract relevant linguistic features from three initial papers, 2 pages in length and subjects are creativity, logic, and random to build a baseline representation for each student's writing style and will be monitored and done at start of the school year.

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Model Training: Train a model (e.g., SVM, Random Forest, or neural network) on the extracted features to create a classifier that distinguishes between a student's writing and AI-generated writing.

Future Paper Analysis: When a new paper is submitted, extract the same features and use the trained model to classify whether the paper aligns with the student's writing style or appears to be AI-generated.


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