Policy presence
University of Washington has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seattle, United States
University of Washington has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
University of Washington has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Washington has 4 source-backed public claims for exams; deterministic analysis status: restricted.
University of Washington has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Washington has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
University of Washington has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Washington has 4 source-backed public claims for named ai services; deterministic analysis status: required.
University of Washington has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Washington has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
University of Washington has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
12 reviewed evidence-backed public claim
Source Status
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
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
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
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
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
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
Normalized value: microsoft_copilot_current_uw_supported_genai_tool
Original evidence
Evidence 1Currently, the only UW-supported generative AI tool is Microsoft Copilot.
Privacy
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
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
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
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
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.
0 machine or needs-review claim
7 source attribution
washington.edu
teaching.washington.edu
depts.washington.edu
grad.uw.edu
it.uw.edu
uwconnect.uw.edu
teaching.washington.edu