University AI Policy Tracker
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West Lafayette, United States Last checked

Purdue University

Independent · Open access · Not an official university page

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Can I use AI for my coursework?Check the applicable scopeDo I need to disclose AI use?Check the applicable scopeCan I upload sensitive data?Check the applicable scopeWhich tools can I access?Check the applicable scope
Use in ChatGPT ↗Before you submitAdvice and precautionsRecord updates ↓

Explore the current record by topic

Coursework

Check the applicable scope

Course AI authorization is set by the instructor; follow the syllabus for assessed work.

Official source ↗

Exams

Check the applicable scope

Do not assume AI is permitted in an exam; verify the instructor’s authorization for that assessment.

Official source ↗

Disclosure

Check the applicable scope

No universal student AI-disclosure format has been verified; follow course-specific requirements.

Privacy and data

Check the applicable scope

Sensitive or Restricted Data requires both a tool approved for that data category and a use case approved by the Data Ethics Committee.

Official source ↗

Tools and eligibility

Check the applicable scope

The Enterprise AI Toolkit distinguishes product, account, cost and data category. Confirm the complete product entry and any required use-case approval before use.

Official source ↗

Research and publication

Check the applicable scope

AI outputs must be reviewed for accuracy, citation, restricted data and bias before sharing or publication.

Official source ↗
More reviewed record topics

Academic integrity

Check the applicable scope

Follow instructor authorization for academic work. Final-course-grade appeals and student-conduct appeals are separate procedures; do not transfer their deadlines between them.

Official source ↗

Teaching guidance

Check the applicable scope

Instructors should state AI authorization and syllabus guidance for assessed and non-assessed work.

Official source ↗

Security and procurement

Check the applicable scope

Unlisted AI tools require IT solutions review, and applicable use cases require Data Ethics Committee review.

Official source ↗

Before you submit

Do

  • Read the syllabus and ask the instructor before using AI in assessed work.
    Source guidance
  • Check the tool-specific data-classification permissions and required approvals.
    Requirement in this scope
  • Review accuracy and citations before sharing AI-generated output.
    Requirement in this scope

Don’t

  • Do not enter Sensitive or Restricted Data without the required tool and use-case approvals.
    Requirement in this scope
  • Do not assume a Purdue-provided AI account authorizes use in an assignment or exam.
    Site advice
  • Do not treat AI output as the sole basis for personnel, award or disciplinary decisions.
    Requirement in this scope
AI use questioned?Investigation, possible outcomes and appeal

AI use questioned?

Purdue University

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Investigation & response

Before formal academic-dishonesty action, the instructor is encouraged to meet the student to discuss the facts; this is encouragement, not a verified universal hearing procedure.

Original evidence and scope

Before formal academic-dishonesty action, the instructor is encouraged to meet the student to discuss the facts; this is encouragement, not a verified universal hearing procedure.

academic_integrity:draft-procedure-1

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Before any formal action is taken against a student who is suspected of committing academic dishonesty, the instructor is encouraged to meet with the student to discuss the facts surrounding the suspicions.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗

Possible outcomes

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Review & appeal

Final-course-grade appeals require an attempt to resolve the issue with the instructor, then submission within 30 university business days after the course grade is posted. Individual assignment/exam grades are excluded; specified graduate committee/thesis decisions follow Graduate Council procedures.

Original evidence and scope

Final-course-grade appeals require an attempt to resolve the issue with the instructor, then submission within 30 university business days after the course grade is posted. Individual assignment/exam grades are excluded; specified graduate committee/thesis decisions follow Graduate Council procedures.

academic_integrity:draft-procedure-2

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Any student may appeal a final course grade that has been assigned at the end of the current semester by using the following procedures. Individual assignment/exam grades may not be appealed.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗
Prior to initiating a grade appeal, the student is required to attempt to resolve the situation with the instructor.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗
Grade appeals must be submitted within 30 university business days after the posting of the grade for the course.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗
Graduate students who wish to appeal grades received in regular coursework may do so through the grade appeals system. Cases involving the decisions of graduate examination committees, the acceptance of graduate theses, and the application of professional standards relating to the retention of graduate students shall be handled by procedures authorized by the Graduate Council rather than the grade appeals system.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗

Student-conduct appeals are separate: submit a written appeal within five business days of the decision-letter date on the specified grounds. Written warnings and educational sanctions are not appealable under this guidance.

Original evidence and scope

Student-conduct appeals are separate: submit a written appeal within five business days of the decision-letter date on the specified grounds. Written warnings and educational sanctions are not appealable under this guidance.

academic_integrity:draft-procedure-3

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

You can appeal our decisions on three factors: The university failed to follow established procedures; there is new information that was not available at the time of the conduct conference; the sanctions are disproportionate to the violation.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗
Students may not appeal a written warning or educational sanctions.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗
An appeal is a written document submitted by the student within 5 business days of the date of the decision letter.

Retained tool-extracted UTF-8 excerpt; SHA is not raw source hash. Original page/offset unavailable.

Official university source ↗

Tool discovery records: scope pending review

Tool discovery information and cited sources are retained. Current account eligibility, cost, endorsement and assessment permission are not confirmed.

Copilot Chat

M365 Copilot

Microsoft 365 Copilot

Purdue GenAI Studio

Scite

Teams Premium

Record updatesLast 90 days · Recorded updates: 3

Updates to this site's reviewed record, not confirmation that the university changed its policy.

  1. Page update

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  3. Record maintenance

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Reviewed claims

9

Historical and pending public Claims (7)

These original public records and sources remain traceable. They are excluded from current topics, FAQ, submission and Analysis conclusions and do not establish current permission.

cl-purdue-university-microsoft-copilot-for-m365-361 · historical_only

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

cl-purdue-university-scite-ai-362 · excluded_pending_review

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

cl-purdue-university-teams-premium-363 · excluded_pending_review

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

claim-purdue-ai-detection-not-sole-determinant · excluded_pending_review

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

claim-purdue-instructor-pii-third-party-ai · excluded_pending_review

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

claim-purdue-toolkit-data-privacy-notice · historical_only

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

claim-purdue-toolkit-common-tools-access · historical_only

Course authorization and University AI policy VII.A.5 revised 10 February 2026; data-use approval, tool eligibility, final-grade appeals and conduct appeals are distinct.

Original canonical record retained. Research classification is not current policy or publication approval; non-VERIFIED originals are excluded from current conclusions.

Record history

Official sources

6 official URLs; 7 source attributions and their captured versions retained.

AI Governance and Review

www.purdue.edu

University official source

purdue.edu

Hash and captured version

AI Governance and Review · 2026-05-14T02:13:06.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

981126e39c50499c499cb0af7abdc2e07edf5a31ef5d4c05dadd1c8cbd5ef0a2

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Application of the Artificial Intelligence (AI) Use Policy

www.purdue.edu

University official source

purdue.edu

Hash and captured version

Application of the Artificial Intelligence (AI) Use Policy · 2026-05-14T02:13:06.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

44aab7670e0a692c49482566f3469506be4483ee02e81d408f2c85a99c4ce9e6

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Artificial Intelligence Use (VII.A.5)

www.purdue.edu

University official source

purdue.edu

Hash and captured version

Artificial Intelligence Use (VII.A.5) · 2026-05-14T02:13:06.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

2a9bc01844dcb4e1016786b35baacb98da11e4cf65f6f867c444f51bb674dbd2

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI Toolkit

www.purdue.edu

University official source

purdue.edu

Hash and captured version

Generative AI Toolkit · 2026-05-14T02:13:06.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

8372412f2bb944a83755ffebc8ddbd741ccb2d2bad1cf93420d979a312149dc5

Generative AI Toolkit | AI@Purdue · 2026-07-15T23:22:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

21ac7b13d0b52bae7e2229fd74a9fe89a3b5c3157f62e96ab30fb207688e3d75

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Guidance on the Use of AI in Teaching and Learning

www.purdue.edu

University official source

purdue.edu

Hash and captured version

Guidance on the Use of AI in Teaching and Learning · 2026-05-14T02:13:06.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

c1008eb0705bfb6063e04440402a7294e07a4715cc3348e858f9c48e19dd8011

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Purdue GenAI Studio, Purdue’s powerful new LLM service, now available | RCAC

www.rcac.purdue.edu

University official source

rcac.purdue.edu

Hash and captured version

Purdue GenAI Studio, Purdue’s powerful new LLM service, now available | RCAC · 2026-07-15T23:18:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

b02c3fe62393ae7be72c02db245ee643e02ede93badaccbf14629fea37a55068

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
qs71-90-v6-completeness-r3-20261025
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · All record history

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

  • Policy semantics PARTIAL; raw official HTML/PDF originals unavailable. New presentation evidence is pending independent acceptance.
  • All original public tool records remain discovery only; account, price and assessment permission require confirmation.
        Current reviewed JSON
        Questions students ask

        Questions students ask

        Can I use AI for my coursework?

        Course AI authorization is set by the instructor; follow the syllabus for assessed work.

        View evidence →
        Do I need to disclose AI use?

        No universal student AI-disclosure format has been verified; follow course-specific requirements.

        View evidence →
        Can I upload sensitive data?

        Sensitive or Restricted Data requires both a tool approved for that data category and a use case approved by the Data Ethics Committee.

        View evidence →
        Which tools can I access?

        The Enterprise AI Toolkit distinguishes product, account, cost and data category. Confirm the complete product entry and any required use-case approval before use.

        View evidence →
        What are the examination rules?

        Do not assume AI is permitted in an exam; verify the instructor’s authorization for that assessment.

        View evidence →
        What rules apply to research and publication?

        AI outputs must be reviewed for accuracy, citation, restricted data and bias before sharing or publication.

        View evidence →
        What counts as academic misconduct?

        Follow instructor authorization for academic work. Final-course-grade appeals and student-conduct appeals are separate procedures; do not transfer their deadlines between them.

        View evidence →
        What guidance applies to teaching?

        Instructors should state AI authorization and syllabus guidance for assessed and non-assessed work.

        View evidence →
        What security and procurement requirements apply?

        Unlisted AI tools require IT solutions review, and applicable use cases require Data Ethics Committee review.

        View evidence →
        When was this record checked?

        Record checked:

        Record version →
        Which official sources support these rules?Official source →
        Where can I read the full evidence?

        16 · Full policy evidence

        Full policy evidence →
        Purdue University AI Policy