Does Gradescope Detect AI? We Read All 180 of Its Help Guides

Does Gradescope Have AI Detection?

Gradescope has no AI detection feature in its own documentation. On November 2, 2026 we pulled every English article from Gradescope's help center, 180 in total, and none of them mentions AI detection, AI-generated content, generative AI or ChatGPT. A search of that help center for "ChatGPT" returns zero results.

The word "AI" does appear in 13 of those 180 articles, and every one of them uses it for grading. Gradescope's AI-assisted grading guide (updated December 16, 2025) describes software that sorts similar student answers into suggested groups so an instructor can grade a whole group at once, and only on fixed-template PDF assignments. That speeds up marking. It does not judge who wrote an answer.

The full answer depends on what you submit. Gradescope handles two very different kinds of work, and the checks behind each one are not the same:

Our detector belongs in the right-hand column only. It reads English prose, so if your upload includes a written explanation, a reflection or the discussion section of a lab report, you can check a written answer before you upload it and see the score and verdict a detector gives that paragraph.

Can Gradescope Detect AI-Generated Code?

Gradescope cannot detect AI-generated code, because no feature in its guides is built to. What it offers for code is Code Similarity, which, in the guide's own words, "does not automatically detect plagiarism but rather shows you how similar two programs are to one another within a single assignment." The tool compares students with each other. It has no model of what AI-written code looks like.

The same point appears in a second place: Gradescope's guide to grading a programming assignment (updated April 4, 2025) repeats that Code Similarity shows similarity and leaves the judgment to the instructor.

How Does Gradescope Code Similarity Work?

Code Similarity is an instructor tool that ranks pairs of submissions by how much code they share. The Code Similarity guide sets out the rules:

• License: it is available only for courses with an Institutional license, and only on Programming Assignments.
• Ranking: results are sorted by "the length of the code that was similar across the pair of submissions," a number tied to how many tokens (keywords, identifiers, operators, literals) matched. You will not find a percentage or an AI probability anywhere in it.
• Starter code: instructors can upload template files so the shared skeleton every student starts from does not count as a match.
• Languages: C, C++, C#, F#, Go, Java, JavaScript, Matlab, MIPS, ML, Python and R. Code in any other language is not reviewed.

Two myths are worth retiring here. Some guides online say the report checks your code against submissions from earlier terms; Gradescope's documentation scopes it to a single assignment. Others describe an "85% match" style score; the guide describes a token-length ranking instead.

Why Can Two AI-Written Solutions Look Similar?

Two students who paste near-identical output from the same chatbot can show up next to each other in a Code Similarity report, for the same reason two students who share a file would. The report sees matching tokens, not where they came from. That is an overlap between classmates, though, not an AI detection.

Research on separating AI code from student code suggests overlap alone is unreliable. A study of AI content detectors on code (ICSE-SEET 2024, 5,069 human-written samples) found that existing detectors "perform poorly" at telling human code from AI code. A 2023 study across CS1, CS2 and database courses found ChatGPT could complete almost all introductory assessments, while similarity tools such as MOSS and JPlag had "mixed success" spotting AI solutions. An earlier paper showed code from the GPT-J model completing intro assignments without triggering MOSS. And a SIGCSE 2024 paper built research models that passed 90% accuracy on its own CS1 dataset, noting that because ChatGPT varies its output, "traditional similarity detectors might not suffice." None of these studies tested Gradescope itself.

Does Gradescope Check for Plagiarism?

Gradescope checks code for similarity between classmates, and that is the only plagiarism-related feature its guides document. Of the 180 help articles, just two mention plagiarism, and both are Code Similarity guides stating that the tool does not decide plagiarism on its own. Written answers, PDF uploads and online assignments get no similarity check from Gradescope at all.

What happens after a high match is up to the instructor, who opens the pair, reads both programs and decides whether the overlap means anything. Shared starter code, a hint from office hours or a standard algorithm can all produce matches that are innocent.

Does Gradescope by Turnitin Detect AI?

Gradescope by Turnitin does not detect AI, even though Turnitin owns it. Turnitin announced the acquisition on October 3, 2018 (Turnitin press release, read November 2, 2026), and the Gradescope product page on turnitin.com (read November 2, 2026) lists AI-assisted answer grouping, AI-powered grading and roster matching, and LMS integration. It says nothing about AI writing detection or similarity checks on text.

Turnitin sells AI writing detection elsewhere. Turnitin's AI writing page (read November 2, 2026) says its AI content detection comes with Turnitin Originality, a separate product from Gradescope. Gradescope's Blackboard setup guide treats a Turnitin Feedback Studio license as yet another product sitting beside Gradescope on the same LMS. And the Gradescope release notes, which run from January 2024 to May 2026, announce no AI writing or AI code detection feature.

You will read elsewhere that instructors can send Gradescope submissions straight into Turnitin's AI check. We found no Gradescope or Turnitin page that describes such a setting, so treat that claim as unsupported. A school can still run your essay through Turnitin Originality on its own, usually through the LMS, and then the score follows Turnitin's rules, which our guide on how Turnitin's AI writing score is read covers. The same split shows up in Turnitin's Clarity writing space, and Canvas courses have their own setup, explained in what Canvas passes to its detectors.

Can Gradescope See If You Use ChatGPT on Written Answers?

Gradescope cannot see whether you used ChatGPT or Gemini on a written answer, because it runs no analysis of who wrote the text. Your instructor or TA reads the upload, handwritten scans included, and grades it. Any AI check on that prose would come from a different tool your school chose to run.

That leaves human judgment as the main risk for written work, and judgment can misread careful writing. Careful second-language writing is one place that misreading happens, a pattern we break down in why careful second-language English gets flagged. If you want to know how your own paragraph reads before an instructor or a separate checker sees it, run your written response through the free detector. It returns a verdict of Human, Inconclusive or AI Detected, and it comes from a detector built on research with 2,590 real student essays. Remember the scope: it scores prose. Pasting code into it tells you nothing about Code Similarity.

Can Professors Tell If You Used AI on Gradescope?

Professors on Gradescope can tell only what they notice themselves or what a separate tool reports, because Gradescope gives them no AI verdict. On code, the strongest signal they get is an unusual match in the Code Similarity report. On written work, it is their own reading: a change in voice, an answer that skips the method taught in class, or a response that does not match how you talk in office hours.

Students also ask about tabs, copy and paste, and screen monitoring. Gradescope's guide on proctoring (updated August 21, 2024) says it does not offer a proctoring or lockdown browser and points schools to other Turnitin products for device control. On online assignments, the online assignment guide says students see a timestamp next to each answer they submit, which is a submission record, not an AI check. We found no guide documenting tab or paste tracking, so we make no claim either way.

If you wrote the work yourself and worry about a false flag, keep your drafts, commits and document history. Our guide shows how to build a drafting record that proves authorship if a professor raises a question. Penalties, if any, depend on your school's integrity policy, not on Gradescope.

For written answers you scan often, the free tier covers four 250-word checks a day with no account and 20 a day with a free account. Paid plans raise the daily scan count to between 100 and 500, listed on the plan comparison page.

How Was This Gradescope Evidence Gathered?

Every claim on this page comes from a primary source, linked or named with its read date, all read on November 2, 2026 under our published evidence method.

Evidence summary (HumanizeMy.ai Evidence Protocol v1.0; sources dated October 2018 to July 2026; all captured November 2, 2026)

• Gradescope help center: all 180 English articles scanned; 0 describe AI detection or mention ChatGPT; 13 use "AI," all of them about grading; 2 mention plagiarism, both Code Similarity guides.
• Gradescope guides cited: Code Similarity, programming assignment grading, AI-assisted grading, online assignments, proctoring, Blackboard LTI setup, release notes, each read live on the capture date.
• Turnitin primary pages: the Gradescope product page, the AI writing page naming Turnitin Originality, and the 2018 acquisition release.
• Research: four papers on detecting AI-generated code (ICSE-SEET 2024, CSCI 2023, a 2022 arXiv paper, SIGCSE 2024). None tested Gradescope.

Flow counter: identified 94 → screened 94 → excluded 78 (off-topic 29, duplicate 24, no-methodology-affiliate 12, unverifiable-this-run 10, unlinkable 3) → included 16 URLs, 18 entries. Two coders labelled each entry independently and agreed on 106 of 108 fields once wording and date formats were normalised; a third reviewer settled the other 2.

Limitations

• Help guides describe features; they cannot show a school's own Turnitin setup or a feature Gradescope has not documented. Your syllabus and integrity office are the final word for your course.
• Forum threads could not be opened during this run, so this page reports no student accounts and no counts of what students say.
• The claim that Gradescope routes submissions to Turnitin's AI check has no primary source we could find. It is reported here as unsupported, not as false.
• The code-detection studies used other tools and their own datasets. Their findings describe the research problem, not Gradescope's behavior.
• Turnitin's own AI score mechanics sit outside this page; we report no Turnitin figures.

Gradescope's guides were current as of the read date above. If your written answer is ready and you want a second look before it goes in, paste it into our no-account AI checker.