Policy presence
University of Denver has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Denver, United States
University of Denver
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
University of Denver has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Denver has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Denver has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Denver has 2 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
University of Denver has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
University of Denver has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Teaching guidance
University of Denver has 4 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
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
5 reviewed evidence-backed public claim
Privacy
The University of Denver University Writing Program tells writers not to input private, proprietary, or protected data into a third-party website without understanding the relevant EULAs, privacy policies, and data-use terms.
Review: Agent reviewed
Normalized value: Writing-program genAI guidance includes a privacy and data-use warning for third-party websites.
Oryginalny dowod
Evidence 1Review the End-User-License-Agreements (EULAs), privacy policies, and other use documentation so that you understand your rights, the rights of the developer, and the use of data you provide to a company. Never input private, propriety, or protected data to a third-party website without understanding these policies.
Academic Integrity
The University of Denver University Writing Program says students should review and abide by instructor policies for assignments before using generative AI technology.
Review: Agent reviewed
Normalized value: Student-facing writing guidance ties genAI use to instructor assignment policies.
Oryginalny dowod
Evidence 1Before using any such technology, review the policies and constraints of the rhetorical situation. As a student, this means abiding by instructor policies for assignments communicated in the syllabus, assignment, or verbally.
Teaching
For writing assignments, the University of Denver University Writing Program advises faculty to outline clear policies about when and how generative AI can or cannot be used and to include instructions for acknowledging assistance.
Review: Agent reviewed
Normalized value: Faculty-facing writing guidance recommends assignment-specific genAI policies and acknowledgement instructions.
Oryginalny dowod
Evidence 1Acknowledge that we are aware that genAI exists and outline clear policies about when and how it can or cannot be used in an assignment or task. Blanket syllabus statements forbidding or giving carte blanche are not as helpful as outlining the ways genAI might be used for specific tasks or giving specific directions not to use genAI for certain parts of the writing process.
Teaching
The University of Denver Office of Teaching and Learning advises faculty to state clear expectations for student work and to consider syllabus statements explaining whether and how AI tools can be used.
Review: Agent reviewed
Normalized value: Faculty-facing AI classroom guidance recommends clear course-level AI expectations and syllabus language.
Oryginalny dowod
Evidence 1Be very clear about your expectations regarding students' work. Consider syllabus statements indicating whether and how AI tools can be used.
Academic Integrity
The University of Denver Office of Teaching and Learning advises faculty not to rely on AI-checking software to confirm suspected academic dishonesty.
Review: Agent reviewed
Normalized value: Faculty-facing academic-integrity guidance cautions against relying on AI detectors.
Oryginalny dowod
Evidence 1Don't rely on AI checking software to confirm your suspicions. Although Turnitin and other companies have programs that check for AI-generated writing, many of these programs are, at best, in their earliest stages, or at worse, unreliable.
Candidate claims
0 machine or needs-review claim
Official sources
2 source attribution
Concerns About Student Use - Office of Teaching & Learning
otl.du.edu
Statement on Generative AI and Writing
academicaffairs.du.edu