Purdue University Plagiarism and AI Policy
Last verified October 24, 2026 · AI-assisted research and drafting · Maintained by Plagiarism Checker Online, operated by Markus Nick
The short answer: According to the published guidance checked October 24, 2026: Purdue's teaching-and-learning guidance places AI authorization at the course level with the instructor. Syllabuses should distinguish assessed work from non-assessed learning, explain any detection procedures and identify possible consequences. Tool availability is not permission for an assessment.
Key facts, with sources
| Topic | What the school publishes | Source |
|---|---|---|
| School | Public, four-year institution in West Lafayette, IN | Source |
| Official policy | Academic integrity policy | Source |
| Honor code | Purdue Honor Pledge | Source |
| Plagiarism definition | The undergraduate guide includes using others' words, ideas or concepts as one's own, exact language without attribution and submitting another person's work. It also warns against invented bibliography entries and unauthorized collaboration. | Source |
| Generative AI | Instructor decides. Purdue's teaching-and-learning guidance places AI authorization at the course level with the instructor. Syllabuses should distinguish assessed work from non-assessed learning, explain any detection procedures and identify possible consequences. Tool availability is not permission for an assessment. Instructor syllabus statements. | Source |
| Reporting office | Office of Student Rights and Responsibilities The academic-integrity landing page lists integrity@purdue.edu and765-494-8778 for concerns and says anonymous reports are possible. No outcome or reporter confidentiality guarantee inferred. | Source |
| Earlier coursework | The undergraduate guide identifies submitting a previously completed assignment for a new assignment as self-plagiarism and tells students to check with the instructor before reusing a paper or project from another course. | Source |
| AI and plagiarism verification | Purdue's AI guidance advises instructors to explain their detection and suspected-use procedures in the syllabus. It states that a positive AI-detector result should not be the sole determining factor in an integrity finding or consequences. This summary does not repeat the page's broad detector-accuracy characterization as a measured current test result. | Source |
| Course materials and AI | The AI guidance tells instructors to make clear that copyrighted teaching materials, including notes, slides and assessments, should not be uploaded to third-party AI sites. Do not treat access to a course file as permission to share it with an external tool. | Source |
| Summary scope | Independent AI-assisted summary of Purdue's Undergraduate Academic Integrity guide, OSRR contact page and instructor AI guidance, not affiliated with Purdue. The landing page's dated brochure is not treated as a newly issued policy; no universal appeal deadline, mandatory sanction ladder or current detector performance statistic inferred. | Source |
What students at Purdue University should know
Purdue's AI teaching guidance separates permission to use a tool from the way a student might use it. The instructor determines authorization at course level, and the syllabus should distinguish assessed assignments from non-assessed learning activities. An AI summary of a reading and AI assistance on a graded response can therefore have different rules. Ask about the actual activity rather than treating access to an AI product as blanket permission. The same guidance asks instructors to explain any detection procedures and what happens when unauthorized use is suspected. It specifically warns against making a positive AI-detector result the sole basis for an integrity finding and consequences. That is a procedural recommendation, not an independently measured detector-accuracy result or a promise about a particular case. The undergraduate academic-integrity guide covers more than copied sentences: it discusses unattributed ideas, unauthorized collaboration, invented bibliography entries and submitting someone else's work. It also tells students to check with the instructor before resubmitting a paper or project from another course. Sharing course materials with external AI tools raises a separate issue; the AI guidance warns against uploading copyrighted instructional material. For academic-integrity concerns, Purdue publishes an OSRR contact and an anonymous reporting option. The older brochure still displayed on the landing page is not used here to invent a current appeal deadline or a mandatory sanction ladder.
Frequently asked questions
The teaching-and-learning guidance places that decision with the instructor at course level. It asks the syllabus to distinguish assessed work from non-assessed learning activities and describe expectations, detection procedures and possible consequences.
No. It advises that a positive result should not be the sole determining factor in an academic-integrity violation and subsequent consequences. It also asks instructors to explain the process for suspected unauthorized use. No specific outcome or detector-accuracy statistic is asserted here.
The AI guidance tells instructors to make clear that copyrighted instructional materials, including slides, notes and assessments, should not be uploaded to third-party sites. Ask about authorized tools and materials before sharing a course file.
Every row links to its source. Independent summary, not affiliated with Purdue University. Found a mistake? Report a correction.
Next step for most readers: how universities write their AI rules.
If you want the wider context, see how AI writing is treated in academic work.
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