AI writing detection model release notes

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2023 December 15th

AI writing detection processing bug fix

We have fixed a prose text, long-form writing format bug that was inadvertently introduced in the December 6th update. This bug allowed submissions that did not meet the file requirements (less than 300 words) to be processed and given an AI writing detection score.

This issue has now been resolved.

Some AI reports generated in this period (6th December to 15th December 2023) did not meet the file requirements but generated an AI writing detection score. Results show that our accuracy increases with a little more text so submissions that contain less than 300 words may result in an AI writing score that is likely less accurate. Please be reminded that an AI Writing score should not be used as the sole basis for adverse actions against a student.


2023 December 6th

AI detection updates

AI word spinners are sometimes used to avoid identification of AI-generated text. We now detect likely AI-generated text even if it may have been paraphrased using an AI word spinner.

Our AI paraphrasing detection is incorporated into our AI writing detection capability and does not require any change to your settings. There are no visual changes to the report, or the highlighting in the report, with this update. Previous reports will need to be resubmitted to detect likely AI paraphrasing.


2023 August 9th

AI detection updates and bug fixes

Processing text in tables

We are now able to process long-form prose text in tables. Resubmit to reprocess existing submissions that contain tables.

Maximum sentence length

We have increased the maximum word count for a sentence to include lengthy sentences when processing the report.


We have fixed a bug that was occasionally highlighting AI writing within references listed in a bibliography. Bibliographies are now excluded when processing the AI writing report. Resubmit to reprocess existing submissions that contain highlighted reference sections.


2023 May 24th

AI updates to address our customers’ false positives concerns

Improvements in detection at the start and end of documents

Since launch, we have observed a higher incidence of false positive detection in the first few or last few sentences of a document. Many times these sentences consist of introduction or conclusion content written in a generic way. As a result, we have changed our detection logic to help reduce these false positives.

We also worked on making our segment boundaries detection more precise which could lead in some rare cases to change of boundaries compared with a previous version.

Fix for bugs in text formatting pipeline

We have fixed a bug that was causing inconsistent text formatting that was impacting the AI writing percentage. This fix ensures that the model provides more consistent and accurate determinations.