Pullman, United States

Washington State University

Washington State University is listed as QS 2026 rank =423. Washington State University has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Washington State University is listed as QS 2026 rank =423. Washington State University has 7 source-backed AI policy claim records from 4 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 Washington State University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/washington-state-university.json. The entity-level confidence is 96%. 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 coverage7 reviewedSource languageenPublic JSON/api/public/v1/universities/washington-state-university.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources4

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.

Approved tools

Washington State University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

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

7 reviewed evidence-backed public claim

Teaching

WSU Provost guidance expects every instructor to set clear acceptable-AI-use expectations and to state the AI course policy in every class syllabus.

Review: Agent reviewedConfidence96%

Normalized value: every_instructor_expected_to_state_ai_course_policy_in_syllabus

Original evidence

Evidence 1
The Office of the Provost expects every instructor to set clear expectations and policies related to acceptable AI use in their course(s). Instructors must clearly indicate their course policy about AI use in every class syllabus, and potentially, for each and every assessment.

Academic Integrity

WSU Provost guidance says WSU does not endorse AI detection tools and will not allow any AI detector to be the sole support for an academic misconduct case.

Review: Agent reviewedConfidence95%

Normalized value: ai_detector_not_sole_support_for_academic_misconduct_case

Original evidence

Evidence 1
Currently, WSU does not endorse the use of any AI detection tool for several reasons. ... We will continue our policy of not allowing the use of any AI detector as the sole source of support for a case against a student for academic misconduct in the future.

Ai Tool Treatment

WSU Provost guidance says instructors may allow or prohibit generative AI tools for their courses, with an obligation to communicate the course AI policy clearly to enrolled students.

Review: Agent reviewedConfidence94%

Normalized value: instructors_may_allow_or_prohibit_generative_ai_with_clear_communication

Original evidence

Evidence 1
Therefore, it is the instructor's prerogative to allow or prohibit the use of any generative AI tool. This decision comes with the obligation to accurately and clearly communicate AI policies to students enrolled in WSU courses across all campuses.

Privacy

WSU Provost AI-related policy guidance says Executive Policy 8 prohibits putting legally protected or regulated data, including proprietary, personally identifiable, HIPAA, or FERPA data, into generative AI platform queries.

Review: Agent reviewedConfidence94%

Normalized value: protected_or_regulated_data_prohibited_in_generative_ai_queries

Original evidence

Evidence 1
Executive Policy 8 prohibits the inclusion of legally protected or regulated data (e.g., proprietary, personally identifiable information, HIPAA, FERPA) in queries provided to generative AI platforms like ChatGPT.

Research

WSU Office of Research guidance says researchers should generally not input sensitive data into externally sourced generative AI tools because such tools are unlikely to meet WSU data security policy requirements.

Review: Agent reviewedConfidence94%

Normalized value: researchers_generally_should_not_input_sensitive_data_into_external_gai_tools

Original evidence

Evidence 1
Third-party software, tools, or information storage systems must comply with WSU data security policies. Because GAI tools are unlikely to meet these requirements, researchers should generally not input sensitive data into externally sourced GAI tools.

Academic Integrity

WSU Provost guidance states that students are expected to provide accurate and transparent attribution of AI use in classroom assessments.

Review: Agent reviewedConfidence93%

Normalized value: students_expected_to_attribute_ai_use_in_classroom_assessments

Original evidence

Evidence 1
An expectation for our students is that there is accurate and transparent attribution of AI use in their classroom assessments.

Research

WSU Office of Research guidance recommends upholding academic integrity in research by clearly attributing the use of generative AI tools in research outputs and publications.

Review: Agent reviewedConfidence92%

Normalized value: research_outputs_should_clearly_attribute_gai_tool_use

Original evidence

Evidence 1
Uphold standards of academic integrity by clearly attributing the use of GAI tools in research outputs and publications.

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

4 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 16, 2026Last changedMay 16, 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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