Policy presence
Carleton University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ottawa, Canada
Carleton University
Carleton University has 4 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
Carleton University AI policy short answer
v1 public contract
Carleton University has 4 source-backed AI policy claims from 4 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Carleton University is listed as QS 2026 rank 781-790.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Carleton University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 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/carleton-university.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 Procurement claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Disclosure, acknowledgment, citation, or attribution language appears in the 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
Carleton University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Carleton University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Carleton University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Carleton University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Carleton University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Carleton University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Carleton University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Carleton University has 3 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
Carleton University has 1 source-backed public claim 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
4 reviewed evidence-backed public claim
Procurement
Carleton identifies Microsoft Copilot as its only approved GenAI platform because it offers Enterprise Data Protection and has completed the university's Data Protection Risk Assessment process.
Review: Agent reviewed
Normalized value: microsoft_copilot_only_approved_genai_platform_dpra
Original evidence
Evidence 1Microsoft Copilot is Carleton’s only approved GenAI platform because it offers Enterprise Data Protection and has successfully completed the university’s Data Protection Risk Assessment (DPRA) process.
Academic Integrity
Carleton guidance says using AI tools to generate assignment content and presenting it as one's own work, or copying or paraphrasing AI-produced content without proper citations and instructor consent, is considered a violation of academic integrity.
Review: Agent reviewed
Normalized value: ai_generated_work_without_citation_or_consent_academic_integrity_violation
Original evidence
Evidence 1Using AI tools to generate content for assignments and presenting it as one’s own original work, as well as copying or paraphrasing the content produced by AI tools without proper citations and the instructor’s consent, are both considered to be in violation of academic integrity.
Privacy
Carleton instructor guidance says confidential, sensitive, or institutional data should use only Carleton-approved AI tools, and discourages adopting third-party tools that have not been cleared for privacy and security by the university.
Review: Agent reviewed
Normalized value: approved_ai_tools_for_sensitive_institutional_data
Original evidence
Evidence 1Use only Carleton-approved AI tools for confidential, sensitive or institutional data in line with the Data Protection and Risk Management Policy and the AI Framework for Carleton University.
Teaching
Carleton instructor guidance recommends syllabus and assignment instructions that specify how AI tools should be used, including clear parameters for how a tool may and may not be used.
Review: Agent reviewed
Normalized value: course_specific_ai_use_parameters_recommended
Original evidence
Evidence 1Include detailed instructions for individual tasks that provide clear parameters for how the tool may and may not be used.
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
4 source attribution
Academic Integrity and AI - Artificial Intelligence
carleton.ca
AI Data Protection - Artificial Intelligence
carleton.ca
GenAI in the Classroom: Considerations for Use - Artificial Intelligence
carleton.ca
Policies and Guidelines - Artificial Intelligence
carleton.ca
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.