Policy presence
University of Colorado Boulder has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Boulder, United States
University of Colorado Boulder
University of Colorado Boulder is listed as QS 2026 rank 299. University of Colorado Boulder has 3 source-backed AI policy claim records from 3 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 Colorado Boulder is listed as QS 2026 rank 299. University of Colorado Boulder has 3 source-backed AI policy claim records from 3 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 Colorado Boulder as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 3 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-colorado-boulder.json. The entity-level confidence is 95%. 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 Security review claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security 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 Colorado Boulder has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
University of Colorado Boulder has 2 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
University of Colorado Boulder has 2 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
University of Colorado Boulder has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
University of Colorado Boulder has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
University of Colorado Boulder has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
Security and procurement
University of Colorado Boulder has 1 source-backed public claim 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.
Evidence-backed claims
3 reviewed evidence-backed public claim
Security Review
CU Boulder OIT states that AI tools and integrations are evaluated through the Information Technology Accessibility and Security Review Process and that tools or services not completing campus review breach campus guidelines.
Review: Agent reviewed
Normalized value: ai_tools_require_ict_review
Original evidence
Evidence 1CU Boulder requires that accessibility and security compliance provisions be included in all contracts or user agreements. AI tools and integrations are evaluated by CU Boulder’s Information Technology Accessibility and Security Review Process, also known as the ICT Review Process. The ICT Review Process applies to purchases and adoptions of all information technology regardless of the cost or funding source. The use of tools and services that have not completed the campus review is considered a breach of campus guidelines.
Teaching
CU Boulder Center for Teaching & Learning identifies generative AI as raising teaching questions about assessment design, classroom AI-use expectations, AI literacy, and ethical awareness.
Review: Agent reviewed
Normalized value: teaching_guidance_available
Original evidence
Evidence 1Generative AI has introduced new considerations and challenges for educators. It raises important questions about how to design valid assessments of student learning, how to communicate expectations around appropriate AI use in the classroom, and how to support students in developing AI literacy and ethical awareness.
Academic Integrity
CU Boulder Center for Teaching & Learning provides instructor-facing guidance on how generative AI complicates academic integrity and how instructors can address misconduct while supporting learning, fairness, and trust.
Review: Agent reviewed
Normalized value: ai_academic_integrity_guidance_available
Original evidence
Evidence 1The proliferation of generative AI technologies has blurred the boundaries between original, assisted and unauthorized work, complicating how academic integrity is maintained in higher education. This guide synthesizes research and institutional practices to help instructors understand how AI may be reshaping student approaches to academic work and integrity, why students engage in misconduct, and how instructors can address misconduct in a way that supports learning, fairness and trust.
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
3 source attribution
AI & Academic Integrity
colorado.edu
Artificial Intelligence (AI) Tool Review and Approval
colorado.edu
Teaching, Learning, & AI
colorado.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.