West Lafayette, United States

Purdue University

Purdue University is listed as QS 2026 rank =88. Purdue University has 11 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Purdue University is listed as QS 2026 rank =88. Purdue University has 11 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Purdue University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 11 source-backed claims, including 11 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/purdue-university.json. The entity-level confidence is 98%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage11 reviewedSource languageenPublic JSON/api/public/v1/universities/purdue-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Other policy claims.
  • Evidence includes Procurement claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Security review claims.
  • Named AI services detected in public claims: Microsoft Copilot.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims11Reviewed11Candidate0Official sources5

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

AI disclosure

Purdue University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence76%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

11 reviewed evidence-backed public claim

Privacy

Purdue requires prior approval before Sensitive or Restricted Data is entered into AI tools, including training or testing AI tools.

Review: Agent reviewedConfidence98%

Normalized value: sensitive_restricted_data_requires_prior_approval

Original evidence

Evidence 1
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.

Localized display only

Prior approval is required before Sensitive or Restricted Data is entered into AI tools.

Other

Purdue allows AI to inform decision makers, but the AI Use policy says AI must not be the sole factor in personnel, award, or disciplinary decisions.

Review: Agent reviewedConfidence97%

Normalized value: ai_not_sole_factor_for_personnel_award_disciplinary_decisions

Original evidence

Evidence 1
AI may be used to inform decision makers, but it must not be the sole factor used in making personnel, award or disciplinary decisions.

Localized display only

AI may inform decisions, but not be the sole factor in listed decision categories.

Procurement

Purdue requires a New IT Solutions and Services Review for AI tools not already on the approved AI tools list, whether developed externally or internally.

Review: Agent reviewedConfidence97%

Normalized value: unlisted_ai_tools_require_new_it_solutions_and_services_review

Original evidence

Evidence 1
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.

Localized display only

AI tools outside the approved list require New IT Solutions and Services Review.

Ai Tool Treatment

Purdue's AI Use policy treats AI tools and university data used with them as IT Resources and Information Assets subject to Purdue acceptable-use and security/privacy policy controls.

Review: Agent reviewedConfidence96%

Normalized value: ai_tools_as_it_resources_and_data_as_information_assets

Original evidence

Evidence 1
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 policy.

Localized display only

Purdue classifies AI tools and related university data under existing IT-resource and information-asset controls.

Teaching

Purdue teaching guidance says instructors should determine and tell students when AI use is authorized or unauthorized; authorization is determined at the course level.

Review: Agent reviewedConfidence95%

Normalized value: student_ai_authorization_determined_by_instructor_at_course_level

Original evidence

Evidence 1
The instructor, therefore, should determine and inform students when the use of AI is authorized or unauthorized. Authorization is determined at the course level by the instructor.

Localized display only

Purdue places student AI-use authorization at the course level under instructor communication.

Academic Integrity

Purdue teaching guidance warns that an AI-detection positive result should not be the sole determining factor for an academic-integrity violation and subsequent consequences.

Review: Agent reviewedConfidence95%

Normalized value: ai_detection_positive_not_sole_factor_for_academic_integrity_violation

Original evidence

Evidence 1
a positive result from one of these tools is not the sole determining factor of an academic integrity violation and subsequent consequences.

Localized display only

AI-detection results should not alone determine an academic-integrity violation or consequences.

Privacy

Purdue teaching guidance says instructors should commit to never sharing personally identifiable student information with third-party AI tools.

Review: Agent reviewedConfidence95%

Normalized value: instructors_should_never_share_student_pii_with_third_party_ai_tools

Original evidence

Evidence 1
Commit to never sharing personally identifiable information about students with any third-party AI tool

Localized display only

Instructors should not share student PII with third-party AI tools.

Security Review

Purdue says AI use cases that use Purdue data or make decisions on behalf of humans must be reviewed and approved by the Data Ethics Committee.

Review: Agent reviewedConfidence94%

Normalized value: data_or_human_decision_use_cases_require_data_ethics_committee_review

Original evidence

Evidence 1
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.

Localized display only

Purdue describes Data Ethics Committee review for AI use cases involving Purdue data or human-facing decisions.

Teaching

Purdue teaching guidance says instructors should include specific syllabus guidance on allowable AI-tool use, learning-process use, detection approaches, and potential consequences.

Review: Agent reviewedConfidence94%

Normalized value: syllabus_should_include_ai_use_detection_and_consequence_guidance

Original evidence

Evidence 1
On the course syllabus, instructors should include specific guidance on: Allowable use of AI tools by students for assessed work in the course.

Localized display only

Purdue asks instructors to state AI expectations in course syllabi, including assessed-work uses.

Privacy

Purdue's AI toolkit tells users to treat data entered into AI tools as potentially public and not to input sensitive, confidential, or restricted data through the listed tools.

Review: Agent reviewedConfidence92%

Normalized value: toolkit_treat_ai_input_as_potentially_public_and_avoid_sensitive_confidential_restricted_data

Original evidence

Evidence 1
When using AI tools, including those listed here, you should treat all data entered as potentially public. Do not input or process any sensitive, confidential or restricted data through these tools.

Localized display only

The toolkit gives a broad data-privacy caution for listed AI tools.

Ai Tool Treatment

Purdue's AI toolkit lists GenAI Studio, Copilot Chat, Teams Premium, M365 Copilot, and Scite as Purdue University AI tools with access terms for users.

Review: Agent reviewedConfidence89%

Normalized value: toolkit_lists_genai_studio_copilot_chat_teams_premium_m365_copilot_scite

Original evidence

Evidence 1
Feature / Capability | GenAI Studio | Copilot Chat | Teams Premium | M365 Copilot | Scite | Access | Free to all | Free to all | $25 per user annually | $360 per user annually | Free to all

Localized display only

The toolkit table identifies Purdue University AI tools and access terms.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

5 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 14, 2026Last changedMay 14, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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