Montreal, Canada Last checked Oct 20, 2026

McGill University

Independent · Open access · Not an official university page

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Can I use AI for my coursework?Set by instructor and course Do I need to disclose AI use?Acknowledge where applicable Can I upload sensitive data?No sensitive data Which tools can I access?Reviewed tools only

Use in ChatGPT ↗Before you submitAdvice and precautions Record updates ↓

Explore the current record by topic

Coursework

Set by instructor and course

There is no default university-wide permission or ban. Under the Code (Article 25(b)), students may not use generative AI in an assessment in a way not authorized by the instructor or supervisor or that breaks the course's AI requirements, and using a tool disallowed in the course outline or written instructions is cheating (Article 26(f)). Instructors are expected to state AI rules in their course outlines.

Official source ↗

Exams

Only as the assessment allows

Exams and other assessments follow the same Code rules: AI use not authorized by the instructor, or use of any tool disallowed in the course outline or assessment instructions, is an offence. No general exam permission exists.

Official source ↗

Disclosure

Acknowledge where applicable

Students are responsible for verifying AI output and acknowledging AI use where applicable, following each instructor's explicit expectations. For master's and doctoral theses, GPS recommends (not yet requires) a GenAI statement and disclosure framework from 1 May 2026; non-disclosure may delay thesis assessment, and the framework may become mandatory after Fall 2026 consultations.

Official source ↗

Privacy & sensitive data

No sensitive data

Remove personally identifying information before using AI tools and do not use sensitive, PHI or PCI data. Even in McGill's secure Copilot version, users must not share private, sensitive, personal health, payment card or other confidential information.

Official source ↗

Institutional tools

Reviewed tools only

McGill offers a secure (Commercial Data Protection) version of Microsoft Copilot with McGill credentials; the public version must not be used for McGill-related purposes. Unless formally reviewed and approved by McGill, generative AI tools may not be used for McGill-related purposes. For translating McGill content, DeepL Pro (paid) and enterprise Copilot are approved; free versions are prohibited. The full 'AI Tools at McGill' list could not be re-read (login required).

Official source ↗

Research & publication

GPS risk tiers

GPS research guidelines (November 2024) classify graduate AI uses as low-to-moderate risk (proofreading, light editing, debugging), moderate-to-high risk (content for one's own use) and very high risk (presenting AI-generated content as one's own, which is plagiarism under the Code). These are research guidelines, not course rules.

Official source ↗

Academic integrity & procedures

Code procedures apply

AI-detection output alone cannot substantiate an Article 25 allegation, and McGill does not support relying on detectors. The University must prove an allegation on a balance of probabilities; students may have an Advisor at any interview or hearing. A CSD Hearing Committee decision can be appealed by notifying the Appeal Committee within 10 working days of official notice, on limited grounds; this deadline is specific to that committee's decisions.

Official source ↗

Teaching guidance

Recommended

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, aligning use or non-use with course learning outcomes; furthermore, McGill does not support and discourages the use of generative AI detection tools because they produce unreliable results and should not be relied upon as evidence of unauthorized use.

Official source ↗

Security and procurement

Review required

Unless formally reviewed and approved by McGill, it is prohibited to use any generative AI tool for McGill-related purposes, with new AI tools, AI features added to existing platforms, and requests involving sensitive data going through the AI Review Committee process; for translating McGill content, IT Services approves DeepL Pro (paid version) and Microsoft Copilot (enterprise version), explicitly prohibiting free versions of translation tools for data security reasons and barring private or sensitive information from being entered (these institutional data and translation rules are distinct from course permissions).

Official source ↗

Do

Check the course outline and written assessment instructions for what AI use is authorized before using it.
Requirement in this scope
Check the course outline and written assessment instructions for what AI use is authorized before using it.
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
McGill's Code of Student Conduct and Disciplinary Procedures (current version effective November 12, 2025) states that no student may use generative AI in an assessment in a manner not authorized by the relevant instructor or supervisor, or that violates the course's AI requirements (Article 25(b)), and that using any tool, including generative AI, that has been disallowed in the course outline or written assessment instructions is cheating (Article 26(f)). AI-detection software is not sufficient by itself to substantiate an allegation under Article 25. Permission is therefore set by the instructor, supervisor and course, not university-wide.
Original evidence and scope
McGill's Code of Student Conduct and Disciplinary Procedures (current version effective November 12, 2025) states that no student may use generative AI in an assessment in a manner not authorized by the relevant instructor or supervisor, or that violates the course's AI requirements (Article 25(b)), and that using any tool, including generative AI, that has been disallowed in the course outline or written assessment instructions is cheating (Article 26(f)). AI-detection software is not sufficient by itself to substantiate an allegation under Article 25. Permission is therefore set by the instructor, supervisor and course, not university-wide.
draft-claim-mcgill-code-ai-offences
No Student may use generative AI in the context of an Assessment in a manner not authorized by the relevant instructor or supervisor, or in a manner that violates any requirements regarding the use of AI in the context of a given course. AI-detection software is not sufficient, by itself, to substantiate an allegation under this article of the Code.
Article 25(b); physical PDF page 9; lines 482-485 of captured PDF text
Official university source ↗
Use any tool to complete an Assessment, including generative artificial intelligence, that has been disallowed in the course outline or any written instructions for the Assessment; or
Article 26(f); physical PDF page 9; lines 513-514 of captured PDF text
Official university source ↗
Verify AI output and acknowledge AI use where applicable; thesis students should consider the GPS GenAI statement (recommended from 1 May 2026).
Requirement in this scope
Verify AI output and acknowledge AI use where applicable; thesis students should consider the GPS GenAI statement (recommended from 1 May 2026).
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
McGill's Principles on Generative AI in Teaching and Learning state (fifth principle) that students remain responsible for academic rigour: verifying the accuracy of AI-generated information, acknowledging the use of generative AI tools where applicable, informing themselves about and complying with instructors' explicit expectations, and respecting limits set on AI use in assessment tasks. Whether AI is allowed or prohibited is not set university-wide.
Original evidence and scope
McGill's Principles on Generative AI in Teaching and Learning state (fifth principle) that students remain responsible for academic rigour: verifying the accuracy of AI-generated information, acknowledging the use of generative AI tools where applicable, informing themselves about and complying with instructors' explicit expectations, and respecting limits set on AI use in assessment tasks. Whether AI is allowed or prohibited is not set university-wide.
draft-claim-mcgill-student-responsibility-principle
Fifth principle: Students remain responsible for maintaining academic rigour. This involves both verifying the accuracy of information generated and acknowledging the use of generative AI tools, if applicable. Students are responsible for informing themselves about and complying with instructors’ explicit expectations and must respect limits established about the use of generative AI tools in assessment tasks.
Fifth principle; physical PDF page 2; lines 65-69 of captured PDF text
Official university source ↗
Since May 1, 2026, McGill GPS asks thesis students to consult its GenAI Research Statement and Disclosure Guidelines and, with their supervisor, include a GenAI statement and disclosure framework in master's and doctoral theses. This statement and framework are recommended, not yet mandatory; failure to disclose AI use may compromise or delay assessment of the thesis, and after Fall 2026 consultations they may become mandatory. Department, supervisor and discipline requirements still apply.
Original evidence and scope
Since May 1, 2026, McGill GPS asks thesis students to consult its GenAI Research Statement and Disclosure Guidelines and, with their supervisor, include a GenAI statement and disclosure framework in master's and doctoral theses. This statement and framework are recommended, not yet mandatory; failure to disclose AI use may compromise or delay assessment of the thesis, and after Fall 2026 consultations they may become mandatory. Department, supervisor and discipline requirements still apply.
draft-claim-mcgill-thesis-disclosure-recommended
The use of a generative AI statement and disclosure framework is recommended, but not yet mandatory.
FAQ 1 (physical page 6); physical PDF page 6; lines 193-194 of captured PDF text
Official university source ↗
Failure to disclose the use of generative AI tools in a submitted thesis may compromise and/or delay assessment of the thesis, as examiners have been actively identifying and flagging potential generative AI use.
FAQ 1; physical PDF page 6; lines 200-202 of captured PDF text
Official university source ↗
Following consultations with committees and departments in Fall 2026, the statement and disclosure frameworks may become mandatory
FAQ 1; physical PDF page 6; lines 205-207 of captured PDF text
Official university source ↗
Use McGill's secure Copilot (McGill login) for McGill-related work, and bring an Advisor to any disciplinary interview if you wish.
Source guidance
Use McGill's secure Copilot (McGill login) for McGill-related work, and bring an Advisor to any disciplinary interview if you wish.
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
McGill IT Services offers a secure Commercial Data Protection version of Microsoft Copilot, accessed with McGill credentials, which it chose because it conforms to the University's privacy and data protection standards; the public version of Copilot does not conform and should not be used for McGill-related purposes. Even in the secure version, users should not share private, sensitive, PII, PHI, PCI or other confidential information. McGill's separate 'AI Tools at McGill' directory returned HTTP 403 when re-checked on 2026-10-20, so the current directory entries (names, audiences, prices) could not be independently re-verified. Tool approval is not permission to use AI in an assessment.
Original evidence and scope
McGill IT Services offers a secure Commercial Data Protection version of Microsoft Copilot, accessed with McGill credentials, which it chose because it conforms to the University's privacy and data protection standards; the public version of Copilot does not conform and should not be used for McGill-related purposes. Even in the secure version, users should not share private, sensitive, PII, PHI, PCI or other confidential information. McGill's separate 'AI Tools at McGill' directory returned HTTP 403 when re-checked on 2026-10-20, so the current directory entries (names, audiences, prices) could not be independently re-verified. Tool approval is not permission to use AI in an assessment.
mcgill-claim-approved-tools
McGill offers a secure version of Microsoft Copilot that protects our data, known as the Commercial Data Protection version.
Introduction; lines 77-77 of captured page text
Official university source ↗
It is crucial to use the Commercial Data Protection (secure) version for McGill-related tasks. A public version of Copilot is available, but it does not conform to the University’s privacy and data protection standards and should not be used for McGill-related purposes.
Data protection is essential; lines 83-83 of captured page text
Official university source ↗
However, even though users are logged in with their McGill credentials, they should not share any private, sensitive, Personally Identifiable Information (PII), Personal Health Information (PHI), Payment Card Industry (PCI) data, or other confidential information.
Data protection is essential; lines 85-85 of captured page text
Official university source ↗
Under McGill's Code, no allegation is substantiated unless the University proves it on a Balance of Probabilities, and the student is entitled to have an Advisor present at any interview or hearing under the Code. A party wishing to appeal a decision of the CSD Hearing Committee must notify the Secretary of the Appeal Committee within 10 Days (working days under the Code) of receiving official notice of that decision; this deadline applies to CSD Hearing Committee decisions, not to every academic decision. Appeals are limited to new evidence, procedural error or bias, or fundamental error in interpreting offences or applying sanctions.
Original evidence and scope
Under McGill's Code, no allegation is substantiated unless the University proves it on a Balance of Probabilities, and the student is entitled to have an Advisor present at any interview or hearing under the Code. A party wishing to appeal a decision of the CSD Hearing Committee must notify the Secretary of the Appeal Committee within 10 Days (working days under the Code) of receiving official notice of that decision; this deadline applies to CSD Hearing Committee decisions, not to every academic decision. Appeals are limited to new evidence, procedural error or bias, or fundamental error in interpreting offences or applying sanctions.
draft-claim-mcgill-code-procedure-appeal
No allegation of an offence under this Code shall be found to be substantiated unless the University meets the burden of proving the allegation against the Student on a Balance of Probabilities.
Article 8; physical PDF page 5; lines 290-291 of captured PDF text
Official university source ↗
The Student and the Disciplinary Officer are each entitled to have an Advisor present at any interview or hearing held under the Code.
Article 7(a); physical PDF page 5; lines 272-273 of captured PDF text
Official university source ↗
A party wishing to appeal must notify the Secretary of the Appeal Committee of the intention to do so within 10 Days of receiving official notice of the CSD Hearing Committee’s decision by way of notice to appeal.
Article 92(a); physical PDF page 29; lines 1674-1676 of captured PDF text
Official university source ↗
“Days” means working days, which excludes weekends, statutory holidays, and other days during which the University is closed.
Article 2(g); physical PDF page 2; lines 82-83 of captured PDF text
Official university source ↗
Where failure to follow proper procedure (procedural error) or bias has occurred; or
Article 90(b); physical PDF page 28; lines 1656-1656 of captured PDF text
Official university source ↗

Don’t

Do not use generative AI or any other tool that your course outline or assessment instructions disallow.
Requirement in this scope
Do not use generative AI or any other tool that your course outline or assessment instructions disallow.
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
McGill's Code of Student Conduct and Disciplinary Procedures (current version effective November 12, 2025) states that no student may use generative AI in an assessment in a manner not authorized by the relevant instructor or supervisor, or that violates the course's AI requirements (Article 25(b)), and that using any tool, including generative AI, that has been disallowed in the course outline or written assessment instructions is cheating (Article 26(f)). AI-detection software is not sufficient by itself to substantiate an allegation under Article 25. Permission is therefore set by the instructor, supervisor and course, not university-wide.
Original evidence and scope
McGill's Code of Student Conduct and Disciplinary Procedures (current version effective November 12, 2025) states that no student may use generative AI in an assessment in a manner not authorized by the relevant instructor or supervisor, or that violates the course's AI requirements (Article 25(b)), and that using any tool, including generative AI, that has been disallowed in the course outline or written assessment instructions is cheating (Article 26(f)). AI-detection software is not sufficient by itself to substantiate an allegation under Article 25. Permission is therefore set by the instructor, supervisor and course, not university-wide.
draft-claim-mcgill-code-ai-offences
No Student may use generative AI in the context of an Assessment in a manner not authorized by the relevant instructor or supervisor, or in a manner that violates any requirements regarding the use of AI in the context of a given course. AI-detection software is not sufficient, by itself, to substantiate an allegation under this article of the Code.
Article 25(b); physical PDF page 9; lines 482-485 of captured PDF text
Official university source ↗
Use any tool to complete an Assessment, including generative artificial intelligence, that has been disallowed in the course outline or any written instructions for the Assessment; or
Article 26(f); physical PDF page 9; lines 513-514 of captured PDF text
Official university source ↗
Do not present AI-generated content as your own work; for graduate research this is the very-high-risk category and plagiarism under the Code.
Requirement in this scope
Do not present AI-generated content as your own work; for graduate research this is the very-high-risk category and plagiarism under the Code.
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
McGill Graduate and Postdoctoral Studies research guidelines (November 2024) sort graduate students' AI uses into three tiers: low-to-moderate risk (e.g. proofreading, light editing, debugging existing code, formatting references), moderate-to-high risk (generating content for one's own use, such as summaries for personal study), and very high risk (generating content and presenting it as one's own work, which constitutes plagiarism under the Code of Student Conduct, e.g. writing entire sections). These guidelines are research-focused, not course-based.
Original evidence and scope
McGill Graduate and Postdoctoral Studies research guidelines (November 2024) sort graduate students' AI uses into three tiers: low-to-moderate risk (e.g. proofreading, light editing, debugging existing code, formatting references), moderate-to-high risk (generating content for one's own use, such as summaries for personal study), and very high risk (generating content and presenting it as one's own work, which constitutes plagiarism under the Code of Student Conduct, e.g. writing entire sections). These guidelines are research-focused, not course-based.
draft-claim-mcgill-gps-research-risk-tiers
categories: low-to-moderate risk, moderate-to-high risk, and very high risk (possibly in violation of McGill regulations).
Evaluating the potential benefits and risks (p.3-4); physical PDF page 4; lines 154-155 of captured PDF text
Official university source ↗
Proofreading: Spell check, grammar check
Low-to-moderate risk examples; physical PDF page 4; lines 174-174 of captured PDF text
Official university source ↗
Using generative AI to generate content and presenting it as one’s own work constitutes plagiarism, in violation of the Code of Student Conduct.
Very high risk definition; physical PDF page 5; lines 214-215 of captured PDF text
Official university source ↗
Research writing: Writing entire sections or the entire proposal/paper
Very high risk examples; physical PDF page 5; lines 228-228 of captured PDF text
Official university source ↗
As of May 1st, 2026, GPS is making available guidelines on the recommended inclusion of a statement and disclosure framework for GenAI use in master’s and doctoral theses.
Use of Generative AI for research; lines 66-66 of captured page text
Official university source ↗
Do not enter personal, health, payment-card or confidential data into AI tools, and do not use unreviewed or free public tools for McGill purposes.
Requirement in this scope
Do not enter personal, health, payment-card or confidential data into AI tools, and do not use unreviewed or free public tools for McGill purposes.
Scope
McGill Code of Student Conduct and Disciplinary Procedures (Nov 2025); Principles on Generative AI in Teaching and Learning; Teaching and Academic Programs guidance; Graduate and Postdoctoral Studies research and thesis guidelines; IT Services AI guidance and governance; Linguistic Services translation guide. The 'AI Tools at McGill' directory requires login and was not re-verified. Institution audit remains PARTIAL.
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.
Original evidence and scope
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.
mcgill-claim-privacy
Mitigate 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."
Best practices for general AI use
Official university source ↗
McGill IT Services states that, unless formally reviewed and approved by McGill, it is prohibited to use any generative AI tool for McGill-related purposes; new AI tools, AI features added to existing platforms and requests involving sensitive data go through the AI Review Committee process. For translating McGill content, Linguistic Services lists two approved tools - DeepL Pro (paid version) and Microsoft Copilot (enterprise version) - with the free versions prohibited for data-security reasons and no private or sensitive information to be entered. These are institutional data and translation rules, not course permissions.
Original evidence and scope
McGill IT Services states that, unless formally reviewed and approved by McGill, it is prohibited to use any generative AI tool for McGill-related purposes; new AI tools, AI features added to existing platforms and requests involving sensitive data go through the AI Review Committee process. For translating McGill content, Linguistic Services lists two approved tools - DeepL Pro (paid version) and Microsoft Copilot (enterprise version) - with the free versions prohibited for data-security reasons and no private or sensitive information to be entered. These are institutional data and translation rules, not course permissions.
draft-claim-mcgill-tool-review-translation
In fact, unless formally reviewed and approved by McGill, it is prohibited to use any generative AI tool for McGill-related purposes due to the risk of exposing personal, confidential and university sensitive information to the Internet.
Data protection; lines 123-123 of captured page text
Official university source ↗
The process applies to new AI tools, AI features added to existing platforms, and requests involving on-premises AI infrastructure or sensitive data.
AI Review Committee; lines 165-165 of captured page text
Official university source ↗
IT Services has approved two AI tools for translation at McGill: DeepL Pro (paid version) The free version is explicitly prohibited, for data security reasons. Microsoft Copilot (enterprise version)
What tools are approved for use?; lines 51-57 of captured page text
Official university source ↗
You should never input any private or sensitive information (e.g. Personally Identifiable Information, Personal Health Information, Payment Card Industry data, or other confidential information) into these tools.
What tools are approved for use?; lines 61-61 of captured page text
Official university source ↗

AI use questioned?Investigation, possible outcomes and appeal

AI tools & access

Microsoft Copilot (Commercial Data Protection version)Institutional access / licenceRecorded as allowed in the source scope
Sign in with McGill credentials (Microsoft Edge); see the McGill Knowledge Base article.
Microsoft Copilot (Commercial Data Protection version) · Access conditions
Secure version of Microsoft Copilot chosen by McGill for McGill-related tasks (assessed for data security); the public version must not be used for McGill purposes. Users still must not enter PII, PHI, PCI or confidential data. Current directory entry not re-verified (HTTP 403).
Sign in with McGill credentials (Microsoft Edge); see the McGill Knowledge Base article.
Not stated in the reviewed accessible sources.
Microsoft Copilot (Commercial Data Protection version) · Official evidence
Source 1 ↗
Original quotation
McGill offers a secure version of Microsoft Copilot that protects our data, known as the Commercial Data Protection version. Microsoft Copilot is a powerful generative AI tool where an AI chatbot can help answer questions, generate content, and more! Microsoft Copilot can be accessed via Microsoft Edge.
Source 2 ↗
Original quotation
However, even though users are logged in with their McGill credentials, they should not share any private, sensitive, Personally Identifiable Information (PII), Personal Health Information (PHI), Payment Card Industry (PCI) data, or other confidential information.
DeepL Pro (paid version)Institutional access / licenceConditions apply
Paid version; follow Linguistic Services and IT guidance.
DeepL Pro (paid version) · Access conditions
Approved by IT Services for translating McGill content; the free DeepL version is prohibited for data-security reasons. Translation approval is not course or assessment permission.
Paid version; follow Linguistic Services and IT guidance.
Paid version (price not stated in the reviewed source).
DeepL Pro (paid version) · Official evidence
Source 1 ↗
Original quotation
IT Services has approved two AI tools for translation at McGill: DeepL Pro (paid version) The free version is explicitly prohibited, for data security reasons.

Record updatesLast 90 days · Recorded updates: 2

Updates to this site's reviewed record, not confirmation that the university changed its policy.

2026-10-27Page update
Other records · Page update
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2026-10-20Held / removed from current conclusions · Record addition · Site correction
Coursework · Exams · 6 more topics · Records involved: 10 (2 corrected / adjusted · 7 added · 1 held)
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Reviewed claims

Held conclusions and historical evidence (1)

These original records and prior review states are retained for provenance, not as current permissions, duties or precise deadlines.

Historical record (captured May 2026 from McGill's 'AI Tools at McGill' page): McGill rejected DeepSeek AI for McGill-managed or research-funded devices, rejected Read.AI and other AI meeting bots, and treated tools not listed as available as rejected. The page returned HTTP 403 on re-check (2026-10-20), so the current list could not be independently re-verified; this record is held, not withdrawn, and the absence of a readable page is not evidence that the rule changed.

Current status: held; historical review state: needs_review

mcgill-claim-rejected-tools

If 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.
AI tools at McGill
8a89030dff58ebc25b045f9ab0dcfaba0f8699625752be03016500f44d392533

Official sources

11 official URLs; 13 source attributions and their captured versions retained.

Microsoft Copilot and general guidelines for using generative AI tools (IT Services, 27 Jun 2024)

www.mcgill.ca

University official source

IT Services, McGill University

Hash and captured version

Microsoft Copilot and general guidelines for using generative AI tools (IT Services, 27 Jun 2024) · 2026-10-20T05:35:45Z

SHA-256 of the retained capture file bytes.

a002a390ec0fe1ae8a6a46a47f0f79f04a712489d592831005a02a41fc15f764

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Code of Student Conduct and Disciplinary Procedures (Senate review November 12, 2025; current version effective that date)

www.mcgill.ca

University official source

McGill University

Hash and captured version

Code of Student Conduct and Disciplinary Procedures (Senate review November 12, 2025; current version effective that date) · 2026-10-20T05:41:35Z

SHA-256 of the retained capture file bytes.

0fbc6a7e8c35cbd844c288333fca635be17d3f232c3ffdcb03c8bbbf7df6ae54

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Principles on Generative AI in Teaching and Learning at McGill

www.mcgill.ca

University official source

Office of the Provost, McGill University

Hash and captured version

Principles on Generative AI in Teaching and Learning at McGill · 2026-10-20T05:35:46Z

SHA-256 of the retained capture file bytes.

a39f919a2af53c8a4a0ee5de48dc402137863dbe071f284617f71db93d371695

Principles on Generative AI in Teaching and Learning at McGill · 2026-05-10T14:31:00.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

bf264889e0f83ad66de9b81f263407457f522fa784bf56c38075b3f5f1b4ffdf

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

5 things instructors should know about generative AI at McGill (August 12, 2026)

teachingblog.mcgill.ca

University official source

Teaching and Academic Programs, McGill University

Hash and captured version

5 things instructors should know about generative AI at McGill (August 12, 2026) · 2026-10-20T05:36:46Z

SHA-256 of the retained capture file bytes.

9a219792e4d0bd7b865ed17147484bded43af5a995603beb2e8d0e15405d3276

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Using generative AI in teaching and learning (Teaching and Learning Knowledge Base)

teachingkb.mcgill.ca

University official source

Teaching and Academic Programs, McGill University

Hash and captured version

Using generative AI in teaching and learning (Teaching and Learning Knowledge Base) · 2026-10-20T05:35:46Z

SHA-256 of the retained capture file bytes.

d445b3d5fc78ebd4417cee657da623c09e8cfceb9b34f37fa6ec6385136ab108

Using generative AI in teaching and learning · 2026-05-10T14:32:00.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

d842d0ad67dd6697b411f00d8c57c0ee3cb26e133d82a52c10fedbe64c245934

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Using artificial intelligence (AI) in research writing - guidelines for graduate students (November 2024)

www.mcgill.ca

University official source

Graduate and Postdoctoral Studies, McGill University

Hash and captured version

Using artificial intelligence (AI) in research writing - guidelines for graduate students (November 2024) · 2026-10-20T05:36:54Z

SHA-256 of the retained capture file bytes.

289e5748fe3c87f043048f1230012d430a08dff0cd4e31b74289aa0befc21ecf

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Use of Generative AI for research (thesis guidelines page)

www.mcgill.ca

University official source

Graduate and Postdoctoral Studies, McGill University

Hash and captured version

Use of Generative AI for research (thesis guidelines page) · 2026-10-20T05:36:45Z

SHA-256 of the retained capture file bytes.

6dc15875644825f4aad19b7075031f79cf6e9fe652ad5399906af46e9da2d7a6

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

GenAI Research Statement and Disclosure Guidelines for Theses (May 1, 2026 version)

www.mcgill.ca

University official source

Graduate and Postdoctoral Studies, McGill University

Hash and captured version

GenAI Research Statement and Disclosure Guidelines for Theses (May 1, 2026 version) · 2026-10-20T05:36:54Z

SHA-256 of the retained capture file bytes.

8a38c96b7dfda1d9b27b97667b8a0da933462efd05024e6580b033686ce388af

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI governance: process for requests and access to AI tools

www.mcgill.ca

University official source

IT Services, McGill University

Hash and captured version

AI governance: process for requests and access to AI tools · 2026-10-20T05:35:46Z

SHA-256 of the retained capture file bytes.

76b6cd6789954eea09ae30fa99fd4f43fc919779d547c272cbc211e1d86d6c6d

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Using AI translation tools at McGill

www.mcgill.ca

University official source

Linguistic Services, McGill University

Hash and captured version

Using AI translation tools at McGill · 2026-10-20T05:51:59Z

SHA-256 of the retained capture file bytes.

5010e0ab97c01f9d7e41032875cb6a06d1fc09e78db7f4f840f160dceb0ecaaf

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI Guidelines

www.mcgill.ca

University official source

mcgill.ca

Hash and captured version

AI Guidelines · 2026-05-10T14:33:00.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

65240bfc8b000bd19a295b33007df10eb02f40e3b3347bc667da67f42f7ce4ee

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state: agent_reviewed
Analysis review state: machine_candidate
Record revision: qs25-31-v6-r1-20261020
Dataset release: public-release-20260924-002
Correction published: 2026-10-20T12:00:00Z
Student snapshot: Not published

Current reviewed JSON · Historical baseline

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

Current reviewed JSON

Questions students ask

Can I use AI for my coursework?

View evidence →

Do I need to disclose AI use?

View evidence →

Can I upload sensitive data?

View evidence →

Which tools can I access?

View evidence →

What are the examination rules?

View evidence →