Policy presence
McMaster University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hamilton, Canada
McMaster University
McMaster University is listed as QS 2026 rank =173. McMaster University has 8 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
McMaster University is listed as QS 2026 rank =173. McMaster University has 8 source-backed AI policy claim records from 7 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 McMaster University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/mcmaster-university.json. The entity-level confidence is 96%. 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 Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Research claims.
- Evidence includes Security review claims.
- Evidence includes Other policy claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Disclosure, acknowledgment, citation, or attribution 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
McMaster University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
McMaster University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
McMaster University has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
McMaster University has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
McMaster University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
McMaster University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
McMaster University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
McMaster University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
McMaster University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
McMaster University has 3 source-backed public claims 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
8 reviewed evidence-backed public claim
Teaching
McMaster's teaching and learning generative AI guidelines say undergraduate and graduate course outlines should state acceptable and unacceptable generative AI use, and students should seek clarification and written confirmation if no syllabus statement is included.
Review: Agent reviewed
Normalized value: course_outlines_should_state_genai_expectations
Original evidence
Evidence 1Undergraduate and graduate course outlines should include a statement on the acceptable and unacceptable use of generative artificial intelligence in the course... If no syllabus statement is included, students should ask the educator for clarification on expectations, and if generative AI use is permitted, receive written confirmation before using generative AI in the course.
Academic Integrity
McMaster's student generative AI coursework tip sheet tells students not to use generative AI unless a course syllabus or professor explicitly allows it, and to disclose and cite AI-generated content when allowed.
Review: Agent reviewed
Normalized value: students_ask_first_disclose_and_cite
Original evidence
Evidence 1Ask first: Don't use generative AI unless your course syllabus or professor explicitly allows it. Remember, different courses have different rules... Be Transparent: If you're allowed to use AI, make sure you disclose how and where. Don't forget to correctly cite all your sources, including any AI-generated content.
Teaching
McMaster's teaching and learning guidelines say generative AI tools should not provide letter or numeric grades for student work, while AI-generated feedback may be used only under stated conditions such as syllabus inclusion and an opt-out ability.
Review: Agent reviewed
Normalized value: genai_no_grades_conditional_feedback
Original evidence
Evidence 1Generative AI tools should not be used to provide grades (letter or numeric) for student work. Generative AI tools may be used to provide feedback on student work, provided the following conditions are met: When generative AI tools are used to provide feedback of student work this use must be explicitly included in the course syllabus. Students should have the ability to opt-out of AI generated feedback.
Privacy
McMaster's operational excellence generative AI guidelines tell employees not to upload confidential, personal, personal health, or proprietary information to a generative AI tool unless required security/privacy assessments have been completed, while noting an enterprise Microsoft Copilot exception when logged in with McMaster credentials.
Review: Agent reviewed
Normalized value: employee_sensitive_data_assessment_copilot_exception
Original evidence
Evidence 1Do not upload or share confidential, personal, personal health or proprietary information with a generative AI tool unless a data security and risk assessment and a privacy and algorithmic assessment have been completed for the specific tool... McMaster has an enterprise licence for Microsoft Copilot (but not 365) which ensures that, when logged in using McMaster credentials, data used is not shared with either Microsoft or McMaster.
Research
McMaster's research generative AI guidelines say researchers are personally accountable for the accuracy and integrity of their work, should critically evaluate and verify AI outputs, and should cite or acknowledge generative AI use according to McMaster Library guidance and publication or granting instructions.
Review: Agent reviewed
Normalized value: researchers_verify_and_acknowledge_genai
Original evidence
Evidence 1Generative AI tools may create false, misleading, or biased outputs. Critically evaluate and personally verify any outputs used in the research process. Researchers are personally accountable for the accuracy and integrity of their work... Researchers who use generative AI in any context should cite or acknowledge its use drawing on McMaster Libraries' LibGuide and follow any publication/granting specific instructions.
Academic Integrity
McMaster's Provost academic integrity page says McMaster has not activated Turnitin's AI Detector, while privacy/security and reliability assessment work is underway and activation may allow retroactive submissions.
Review: Agent reviewed
Normalized value: turnitin_ai_detector_not_activated
Original evidence
Evidence 1At this time McMaster has not activated the Turnitin AI Detector. Ongoing work to assess privacy and security impacts of this tool, as well as exploring its reliability, are underway. McMaster may activate the AI Detector, which allows for retroactive submissions.
Security Review
McMaster's privacy considerations page says that for tools including automated functions, including artificial intelligence, the university must conduct an Algorithmic Impact Assessment, with the Privacy Office responsible for the AIA process.
Review: Agent reviewed
Normalized value: algorithmic_impact_assessment_for_automated_functions
Original evidence
Evidence 1For any tools that include automated functions, including artificial intelligence, the university must conduct an Algorithmic Impact Assessment (AIA). An AIA is a risk assessment process that determines the impact level of an automated decision-making system on the risks of harm to individuals. The privacy office is responsible for conducting the AIA process.
Other
McMaster University Libraries' generative AI citation guide warns that generative AI can generate incorrect, outdated, or biased content, can fabricate sources, and that information shared with generative AI tools can compromise privacy and security.
Review: Agent reviewed
Normalized value: library_genai_limitations_and_privacy_cautions
Original evidence
Evidence 1Generative AI tools can generate incorrect, outdated or biased content. Confirm the quality, reliability and accuracy of AI-generated content with reputable sources before including it in your work. Generative AI tools are also known to fabricate or hallucinate sources that do not exist... The information you share with generative AI tools can compromise your privacy and security.
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
7 source attribution
Generative AI and Academic and Research Integrity
provost.mcmaster.ca
Guidelines on the Use of Generative AI in Teaching and Learning
provost.mcmaster.ca
How Do I Cite Generative AI?: Generative AI Overview
libguides.mcmaster.ca
Privacy Considerations and Generative AI Tools
provost.mcmaster.ca
Provisional Guidelines on the Use of Generative AI in Operational Excellence
provost.mcmaster.ca
Provisional Guidelines on the Use of Generative AI in Research
provost.mcmaster.ca
Thinking about using generative AI like ChatGPT or Bing for your coursework?
provost.mcmaster.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.