Policy presence
Purdue University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
West Lafayette, United States
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Purdue University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Purdue University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Purdue University has 5 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Purdue University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Purdue University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Purdue University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Purdue University has 4 source-backed public claims for approved tools; deterministic analysis status: required.
Purdue University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Purdue University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
Purdue University has 2 source-backed public claims for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
11 reviewed evidence-backed public claim
Privacy
Normalized value: sensitive_restricted_data_requires_prior_approval
Original evidence
Evidence 1Sensitive 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
Normalized value: ai_not_sole_factor_for_personnel_award_disciplinary_decisions
Original evidence
Evidence 1AI 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
Normalized value: unlisted_ai_tools_require_new_it_solutions_and_services_review
Original evidence
Evidence 1A 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
Normalized value: ai_tools_as_it_resources_and_data_as_information_assets
Original evidence
Evidence 1AI 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
Normalized value: student_ai_authorization_determined_by_instructor_at_course_level
Original evidence
Evidence 1The 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
Normalized value: ai_detection_positive_not_sole_factor_for_academic_integrity_violation
Original evidence
Evidence 1a 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
Normalized value: instructors_should_never_share_student_pii_with_third_party_ai_tools
Original evidence
Evidence 1Commit 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
Normalized value: data_or_human_decision_use_cases_require_data_ethics_committee_review
Original evidence
Evidence 1Purdue 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
Normalized value: syllabus_should_include_ai_use_detection_and_consequence_guidance
Original evidence
Evidence 1On 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
Normalized value: toolkit_treat_ai_input_as_potentially_public_and_avoid_sensitive_confidential_restricted_data
Original evidence
Evidence 1When 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
Normalized value: toolkit_lists_genai_studio_copilot_chat_teams_premium_m365_copilot_scite
Original evidence
Evidence 1Feature / 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.
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.
5 source attribution
purdue.edu
purdue.edu
purdue.edu
purdue.edu
purdue.edu
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