Teaching & Learning
- Purdue provides instructor-facing guidance indicating that faculty should include an AI policy statement in all course syllabi and encourages responsible AI use in teaching and learning while upholding academic integrity
- The AI-specific institutional policy authorizes use of approved AI tools subject to requirements (including data restrictions and review/accuracy expectations), but the provided sources do not define a single university-wide rule for student use of AI on graded coursework beyond directing that academic/classroom usage is guided by provost guidelines and course-level communication
We encourage students and faculty together to innovate learning through AI, and we are eager to work with and support student innovation in AI.
Include AI Policy statement in all course syllabi
Provost guidelines provide guidance for academic and classroom usage.
- Purdue provides faculty guidance recommending against relying on AI tools for grading or exam creation without verification
- The provided sources do not define a student-facing, university-wide rule about using AI during exams; instead, the materials emphasize syllabus-level AI policy statements and academic integrity alignment
Refrain from primarily using AI tools for grading or exam creation without verification
Include AI Policy statement in all course syllabi
- Purdue’s instructor guidance states an intent to support AI approaches and practices and encourages students and faculty to innovate learning through AI
- The AI use policy broadly authorizes responsible use of approved AI tools subject to compliance and review/accuracy/citation expectations, but the provided sources do not explicitly define student permissions or limits specifically for non-graded study assistance
The goal of this page is to provide reasonably thorough, but also accessible and brief, guidance to support the AI approaches and practices of instructors, as well as how they communicate their expectations to students.
We encourage students and faculty together to innovate learning through AI, and we are eager to work with and support student innovation in AI.
The responsible use of approved AI tools and technologies is authorized subject to the following requirements:
Prior to sharing and publishing, always review and ensure AI output is accurate, appropriately cited, does not contain Restricted Data, including personally identifiable information (PII), without Data Ethics Committee approval, and minimizes bias or misinformation.
- Purdue’s AI use policy authorizes responsible use of approved AI tools subject to requirements (including restrictions on entering sensitive/restricted data, approval processes, and review/accuracy expectations)
- The provided sources do not define explicit student rules for using AI code generation tools on programming assignments, beyond instructor guidance to include an AI policy statement in syllabi and general best-practice guidance to be transparent and to verify outputs
The responsible use of approved AI tools and technologies is authorized subject to the following requirements:
Sensitive and Restricted Data, as defined in the Acceptable Use policy, must not be entered into AI tools without prior approval.
Prior to sharing and publishing, always review and ensure AI output is accurate, appropriately cited, does not contain Restricted Data, including personally identifiable information (PII), without Data Ethics Committee approval, and minimizes bias or misinformation.
Include AI Policy statement in all course syllabi
Research
- Purdue’s AI use policy requires review prior to sharing/publishing to ensure AI output is accurate, appropriately cited, and does not contain restricted data (including PII) without Data Ethics Committee approval
- Separately, Purdue’s plagiarism guidance for research writing references plagiarism definitions and describes thesis/dissertation review requirements using iThenticate, but the provided sources do not explicitly define rules specific to using generative AI to draft or edit scholarly manuscripts beyond these accuracy/citation and integrity expectations
Prior to sharing and publishing, always review and ensure AI output is accurate, appropriately cited, does not contain Restricted Data, including personally identifiable information (PII), without Data Ethics Committee approval, and minimizes bias or misinformation.
Effective September 1, 2014, Purdue’s Graduate School requires that all theses and dissertations be reviewed using the iThenticate software and any issues identified by the software addressed prior to deposit of the final thesis or dissertation with the Graduate School.
- Purdue also states that AI use cases using Purdue data and/or making decisions on behalf of humans must be reviewed and approved by the Data Ethics Committee
- Purdue authorizes responsible use of approved AI tools but restricts entering Sensitive or Restricted Data into AI tools without prior approval, including use cases such as training or testing AI tools, and requires the tool and use case to be approved (including by the Data Ethics Committee)
Sensitive and Restricted Data, as defined in the Acceptable Use policy, must not be entered into AI tools without prior approval. Usage cases include training or testing AI tools. Approval requires that:
The tool is approved for Sensitive and/or Restricted Data use as applicable per the approved AI tools list, and
The usage case for the tool is approved by the Data Ethics Committee.
Purdue University policy requires AI use cases that use Purdue data and/or make decisions on behalf of humans must be reviewed and approved by the Data Ethics Committee.
- Purdue’s AI use policy states that responsible use of AI is essential to maintaining academic integrity, data security and institutional standards, and it requires review of AI outputs prior to sharing/publishing for accuracy, appropriate citation, and to avoid restricted data and to minimize bias/misinformation
- For undergraduate research event participation, Purdue’s conference guidelines require students to take ownership of their work, use AI to support (not replace) student effort, be able to explain content, and disclose substantial AI assistance beyond acceptable uses to their mentor (and it may require acknowledgement on the presentation)
Responsible use of AI is essential to maintaining academic integrity, data security and institutional standards.
Prior to sharing and publishing, always review and ensure AI output is accurate, appropriately cited, does not contain Restricted Data, including personally identifiable information (PII), without Data Ethics Committee approval, and minimizes bias or misinformation.
Students should ensure the content developed represents their own intellectual contributions. Using AI as a tool should supp ort – not replace – s tudent effort, and all participants must be able to explain and take ownership of their work.
Unacknowledged AI Use: Any substantial assistance from AI beyond the acceptable uses above must be disclosed to your mentor and may require acknowledgement on your presentation.
Academic Integrity
- Purdue’s AI use policy requires that before sharing/publishing, AI output is reviewed and ensured to be appropriately cited
- For undergraduate research conference participation, substantial AI assistance beyond acceptable uses must be disclosed to the student’s mentor and may require acknowledgement on the presentation; additionally, students must be able to explain and take ownership of their work
Prior to sharing and publishing, always review and ensure AI output is accurate, appropriately cited, does not contain Restricted Data, including personally identifiable information (PII), without Data Ethics Committee approval, and minimizes bias or misinformation.
Unacknowledged AI Use: Any substantial assistance from AI beyond the acceptable uses above must be disclosed to your mentor and may require acknowledgement on your presentation.
Students are expected to take intellectual ownership of their work and be able to explain all content presented.
- Purdue’s generative AI best practices advise faculty to avoid using AI-detection software as the sole method to verify integrity
- Purdue’s Information Security and Privacy policy states that violations may result in disciplinary actions up to and including expulsion or termination or referral to external authorities, and the AI use policy indicates Purdue Systems Security will implement monitoring to identify and remediate policy violations and requires incident reporting for unauthorized uploads of non-public data
Avoid AI-detection software as the sole method to verify integrity
Violations may result in disciplinary actions up to and including expulsion or termination or may be referred to appropriate external authorities.
Implement monitoring to identify and remediate policy violations.
In the event any non-public data is uploaded to an AI tool without prior approval of the system or usage case, the user(s) must immediately report the incident.
Institutional & Administrative
- Purdue’s generative AI best practices provide faculty and staff guidance emphasizing transparency and verification of AI-generated content and advising faculty not to primarily use AI tools for grading or exam creation without verification
- Purdue’s AI use policy also states AI may inform decision makers but must not be the sole factor in personnel, award, or disciplinary decisions, and unit heads determine the extent to which AI may be used to inform decision-makers in their areas
Be transparent about AI use and encourage responsible usage
Refrain from primarily using AI tools for grading or exam creation without verification
Verify AI-generated content for accuracy and reliability
AI may be used to inform decision makers, but it must not be the sole factor used in making personnel, award or disciplinary decisions.
Unit heads are responsible for determining the extent to which AI may be used to inform decision-makers in their respective areas.
- Purdue’s AI use policy states AI tools and university data used with them are IT Resources and Information Assets and are subject to the Acceptable Use policy and Information Security and Privacy policy
- It prohibits entering Sensitive and Restricted Data into AI tools without prior approval and requires the tool be approved for that data and the use case approved by the Data Ethics Committee; it also requires a New IT Solutions and Services Review for AI tools not already on the approved AI tools list and requires incident reporting if non-public data is uploaded without prior approval
AI tools and the university data used with them are IT Resources and Information Assets, respectively, as defined within and subject to the Acceptable Use of IT Resources and Information Assets (VII.A.4) (Acceptable Use) policy.
Sensitive and Restricted Data, as defined in the Acceptable Use policy, must not be entered into AI tools without prior approval.
A New IT Solutions and Services Review is required for use of any AI tools, whether developed externally or internally, not already on the approved AI tools list.
In the event any non-public data is uploaded to an AI tool without prior approval of the system or usage case, the user(s) must immediately report the incident.
- Purdue’s AI website also states that beginning in fall of 2026, Purdue will implement an AI working competency graduation requirement through an expanded partnership with Google
- Purdue states it is committed to responsible and ethical development of AI and indicates AI governance and review includes Data Ethics Committee review and approval for AI use cases that use Purdue data and/or make decisions on behalf of humans
- Purdue’s AI use policy assigns responsibilities to Purdue Systems Security and the Data Ethics Committee, including ensuring legal agreements are in place with third-party AI tools and ensuring approved tools follow Purdue’s AI Guiding Principles
At Purdue University, we are committed to the responsible and ethical development of artificial intelligence.
Purdue University policy requires AI use cases that use Purdue data and/or make decisions on behalf of humans must be reviewed and approved by the Data Ethics Committee.
Ensure appropriate legal agreements are in place with third-party AI tools to protect the University’s Information Assets.
Ensure any approved AI tool put into use follows Purdue’s AI Guiding Principles.
Beginning in fall of 2026, we will implement an AI working competency graduation requirement through an expanded partnership with Google.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Purdue University's AI Policies
Purdue University has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Purdue’s AI use policy requires that before sharing/publishing, AI output is reviewed and ensured to be appropriately cited. For undergraduate research conference participation, substantial AI assistance beyond acceptable uses must be disclosed to the student’s mentor and may require acknowledgement on the presentation; additionally, students must be able to explain and take ownership of their work.
Purdue’s generative AI best practices advise faculty to avoid using AI-detection software as the sole method to verify integrity. Purdue’s Information Security and Privacy policy states that violations may result in disciplinary actions up to and including expulsion or termination or referral to external authorities, and the AI use policy indicates Purdue Systems Security will implement monitoring to identify and remediate policy violations and requires incident reporting for unauthorized uploads of non-public data.
Purdue’s AI use policy states AI tools and university data used with them are IT Resources and Information Assets and are subject to the Acceptable Use policy and Information Security and Privacy policy. It prohibits entering Sensitive and Restricted Data into AI tools without prior approval and requires the tool be approved for that data and the use case approved by the Data Ethics Committee; it also requires a New IT Solutions and Services Review for AI tools not already on the approved AI tools list and requires incident reporting if non-public data is uploaded without prior approval.