Policy presence
McGill University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Montreal, Canada
McGill University
McGill University is listed as QS 2026 rank 27. McGill University has 5 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
McGill University is listed as QS 2026 rank 27. McGill University has 5 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
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
McGill University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
McGill University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
McGill University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
McGill University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
McGill University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
McGill University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
McGill University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
McGill University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Security and procurement
McGill University has 2 source-backed public claims for security and procurement; deterministic analysis status: conditionally_allowed.
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
5 reviewed evidence-backed public claim
Ai Tool Treatment
McGill lists Microsoft 365 Copilot Chat as an available AI tool for staff, faculty, and students, and says a secure version with enterprise data protection is available for all McGill users.
Review: Agent reviewed
Normalized value: microsoft_copilot_commercial_data_protection_approved
Original evidence
Evidence 1Microsoft 365 Copilot Chat is an AI-powered feature integrated into Microsoft Edge and accessible through other browsers. Microsoft 365 Copilot Chat can answer questions, generate content, condense long texts and more. A secure version with enterprise data protection is available for all McGill users​. Audience: Staff, Faculty, and Students Price: Free
Ai Tool Treatment
McGill explicitly rejects DeepSeek AI for McGill-managed or research-funded devices, rejects Read.AI and other AI meeting bots for McGill use, and says tools not mentioned in the available AI tools list are automatically considered rejected.
Review: Agent reviewed
Normalized value: deepseek_readai_rejected_prohibited
Original evidence
Evidence 1If a tool is not mentioned in the "Available AI tools" list, it is automatically considered rejected , even if it is not listed among these prohibited tools DeepSeek AI: This tool has raised serious data exposure risks and prompt injection vulnerabilities. Its use is not permitted for any McGill-managed or research-funded device. This decision follows cybersecurity directives from the Government of Quebec and the Government of Canada.
Privacy
McGill guidance says users should mitigate potential privacy concerns by removing personally identifying information when using AI tools, be careful with sensitive or restricted material, and avoid using Personal Health Information (PHI) or Payment Card Industry (PCI) data with AI tools.
Review: Agent reviewed
Normalized value: remove_pii_phi_pci_from_ai_use
Original evidence
Evidence 1Mitigate potential privacy concerns by removing personally identifying information (e.g., names, email addresses, phone numbers). For example, when writing a prompt to draft an email to Joe Smith, replace "Joe Smith" with "XYZ."
Academic Integrity
McGill's Provost-endorsed principles state that instructors remain responsible for comporting themselves according to the highest standards of academic integrity in their use of generative AI tools. Instructors must be explicit in course outlines about the expectations for use of generative AI tools and may set limits on their use in assessment tasks.
Review: Agent reviewed
Normalized value: instructor_responsible_academic_integrity_ai
Original evidence
Evidence 1Fourth principle: Instructors remain responsible for comporting themselves according to the highest standards of academic integrity in their use of generative AI tools. Instructors maintain responsibility and accountability for all of their instructional materials whether independently created, third-party generated, supported by generative AI tools, or derived from other resources. Instructors must be explicit in course outlines about the expectations for use of generative AI tools and may set limits on their use in assessment tasks.
Teaching
McGill recommends that instructors explain to students in their course outline what the appropriate use or non-use is of generative AI tools in the context of that course. The use or non-use of these tools should align with the learning outcomes associated with the course.
Review: Agent reviewed
Normalized value: course_outline_statement_recommended
Original evidence
Evidence 1There should be no default assumption as to the use of generative AI tools. Therefore, McGill recommends that instructors explain to students in their course outline what the appropriate use or non-use is of generative AI tools in the context of that course. The use or non-use of these tools should align with the learning outcomes associated with the course. For this reason, instructors will need to write their own context-appropriate course outline statements.
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
5 source attribution
AI Guidelines
mcgill.ca
AI tools at McGill
mcgill.ca
Microsoft Copilot and general guidelines for using generative AI tools
mcgill.ca
Principles on Generative AI in Teaching and Learning at McGill
mcgill.ca
Using generative AI in teaching and learning
teachingkb.mcgill.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.