Policy presence
Washington State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Pullman, United States
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.
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.
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.
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.
Washington State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Washington State University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Washington State University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Washington State University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Washington State University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Washington State University has 3 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Washington State University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Washington State University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Washington State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Washington State University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Teaching
Normalized value: every_instructor_expected_to_state_ai_course_policy_in_syllabus
Original evidence
Evidence 1The 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
Normalized value: ai_detector_not_sole_support_for_academic_misconduct_case
Original evidence
Evidence 1Currently, 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
Normalized value: instructors_may_allow_or_prohibit_generative_ai_with_clear_communication
Original evidence
Evidence 1Therefore, 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
Normalized value: protected_or_regulated_data_prohibited_in_generative_ai_queries
Original evidence
Evidence 1Executive 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
Normalized value: researchers_generally_should_not_input_sensitive_data_into_external_gai_tools
Original evidence
Evidence 1Third-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
Normalized value: students_expected_to_attribute_ai_use_in_classroom_assessments
Original evidence
Evidence 1An expectation for our students is that there is accurate and transparent attribution of AI use in their classroom assessments.
Research
Normalized value: research_outputs_should_clearly_attribute_gai_tool_use
Original evidence
Evidence 1Uphold standards of academic integrity by clearly attributing the use of GAI tools in research outputs and publications.
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.
4 source attribution
provost.wsu.edu
research.wsu.edu
provost.wsu.edu
provost.wsu.edu
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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.
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