Policy presence
University of Washington has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seattle, United States
University of Washington
University of Washington is listed as QS 2026 rank 81. University of Washington has 12 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Washington is listed as QS 2026 rank 81. University of Washington has 12 source-backed AI policy claim records from 7 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 University of Washington as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 12 source-backed claims, including 12 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-washington.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.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Security review claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
University of Washington has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Washington has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Washington has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Washington has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
University of Washington has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Washington has 4 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
University of Washington has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Washington has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Washington has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
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
12 reviewed evidence-backed public claim
Source Status
UW Graduate School AI research guidance states that its guidelines are recommendations only.
Review: Agent reviewed
Normalized value: graduate_ai_research_guidance_recommendations_only
Original evidence
Evidence 1The guidelines presented here are recommendations only and will evolve with the rapidly changing landscape of AI.
Security Review
UW general GenAI guidance says only UW-approved services and applications may be used with University data.
Review: Agent reviewed
Normalized value: uw_approved_services_required_for_university_data
Original evidence
Evidence 1Only UW-approved services and applications may be used with University data.
Academic Integrity
UW Student Life guidance says using AI content generators without instructor permission may violate University academic standards.
Review: Agent reviewed
Normalized value: unauthorized_ai_use_may_violate_academic_standards
Original evidence
Evidence 1Using these technologies without your instructor's permission may violate academic standards of the University.
Privacy
UW-IT says users must sign into Copilot with a UW Microsoft 365 account to receive the commercial data protection benefit.
Review: Agent reviewed
Normalized value: uw_m365_signin_required_for_copilot_data_protection
Original evidence
Evidence 1You must sign into Copilot with your UW Microsoft 365 account in order to utilize the commercial data benefit.
Privacy
UW Medicine COMP.308 says use of any AI within its scope must comply with UW Medicine patient-information privacy policies and IT security standards.
Review: Agent reviewed
Normalized value: uw_medicine_ai_use_complies_with_privacy_security_standards
Original evidence
Evidence 1The use of any AI must comply with all relevant UW Medicine policies, including Patient Information Privacy policies and IT Services Information Security Standards.
Teaching
UW general GenAI guidance says course instructors may allow, prohibit, or set parameters around GenAI use for their courses.
Review: Agent reviewed
Normalized value: course_instructors_set_genai_course_parameters
Original evidence
Evidence 1Course instructors have the discretion to allow, prohibit, or put parameters around the use of GenAI.
Security Review
Teaching@UW guidance identifies Microsoft Copilot as the currently UW-supported generative AI tool and points instructors toward Copilot instead of non-UW-supported tools.
Review: Agent reviewed
Normalized value: microsoft_copilot_current_uw_supported_genai_tool
Original evidence
Evidence 1Currently, the only UW-supported generative AI tool is Microsoft Copilot.
Privacy
UW-IT says Microsoft Copilot with commercial data protection is enabled for UW users and protects user and organizational data in specified ways.
Review: Agent reviewed
Normalized value: copilot_commercial_data_protection_enabled_for_uw_users
Original evidence
Evidence 1Copilot with commercial data protection means both user and organizational data are protected.
Security Review
UW Medicine COMP.308 requires internal review for proposed clinical-care or business-operations AI uses that have possible elevated-risk characteristics and are not within the approved-tool scope.
Review: Agent reviewed
Normalized value: uw_medicine_elevated_risk_ai_uses_require_internal_review
Original evidence
Evidence 1When a proposed AI use for Clinical Care or UW Medicine Business Operations entails possible elevated risk, the proposal must undergo Internal Review.
Teaching
Teaching@UW guidance advises instructors to establish and communicate a course policy for generative AI use through the syllabus or assignment prompts.
Review: Agent reviewed
Normalized value: instructors_set_and_communicate_course_genai_policy
Original evidence
Evidence 1Establish a policy for your course around the use of generative AI and communicate this with students.
Research
UW Graduate School AI research guidance advises researchers not to share confidential, proprietary, or IP-implicating data or information with AI tools.
Review: Agent reviewed
Normalized value: graduate_research_do_not_share_confidential_proprietary_ip_data
Original evidence
Evidence 1Don't share any data or information that is confidential, proprietary, or have IP implications.
Teaching
Teaching@UW sample syllabus guidance provides basic syllabus language that instructors can use or adapt to articulate expectations for student AI use.
Review: Agent reviewed
Normalized value: sample_syllabus_language_for_ai_use_expectations
Original evidence
Evidence 1This page provides some basic syllabus language you can use or adapt to articulate your expectations.
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
7 source attribution
AI tools and academic integrity
washington.edu
AI+Teaching
teaching.washington.edu
COMP.308 Use of Artificial Intelligence (AI) in the Healthcare Setting
depts.washington.edu
Effective and Responsible Use of AI in Research
grad.uw.edu
Generative Artificial Intelligence General Use Guidelines
it.uw.edu
Microsoft Copilot
uwconnect.uw.edu
Sample syllabus statements regarding student use of artificial intelligence
teaching.washington.edu
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.
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.