Policy presence
University of Waterloo has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Waterloo, Canada
University of Waterloo
University of Waterloo is listed as QS 2026 rank =119. University of Waterloo has 7 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
University of Waterloo is listed as QS 2026 rank =119. University of Waterloo has 7 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 University of Waterloo as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 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/university-of-waterloo.json. The entity-level confidence is 94%. 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 Security review claims.
- Evidence includes Academic integrity claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: ChatGPT.
- 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
University of Waterloo has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Waterloo has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Waterloo has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Waterloo has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Waterloo has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
University of Waterloo has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Waterloo has 1 source-backed public claim for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
University of Waterloo has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Waterloo has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University of Waterloo 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
7 reviewed evidence-backed public claim
Security Review
Waterloo IST tells users to confirm whether an AI tool is listed and approved for the intended type of University data before using it with University data.
Review: Agent reviewed
Normalized value: AI tools should be checked against IST approval status before use with University data.
Original evidence
Evidence 1first confirm whether the tool is listed and approved below for the type of University data you intend to use.
Localized display only
IST says users should check AI-tool approval against the intended University data type.
Academic Integrity
Waterloo's Academic Integrity page says instructors should state whether AI tools such as ChatGPT are allowed for assignments, tests, or exams, and that students who do not follow those instructor rules are subject to Policy 71 academic-misconduct processes.
Review: Agent reviewed
Normalized value: Instructor-defined AI-use rules are tied to Policy 71 compliance.
Original evidence
Evidence 1At present, it's important for instructors to be explicit about whether artificial intelligence or tools like ChatGPT are allowed to be used to complete assignments, tests or exams, and if so, the extent to which it is allowed, and if it should be cited and how to cite it. A student who does not comply with the instructor's rules about the use of such tools will be subject to Policy 71 and an investigation into academic misconduct.
Localized display only
Academic Integrity tells instructors to state whether AI tools are allowed and links noncompliance to Policy 71.
Security Review
Waterloo IST says review processes assess AI tools used with University data for security, privacy, and contractual risks.
Review: Agent reviewed
Normalized value: AI tools with University data undergo security, privacy, and contractual-risk assessment.
Original evidence
Evidence 1These review processes ensure that any AI tool used with University data is assessed for security, privacy, and contractual risks, whether the tool is standalone, embedded, or part of an AI-enabled system.
Localized display only
IST says AI tools used with University data are assessed for security, privacy, and contractual risks.
Academic Integrity
Waterloo's graduate-student GenAI guidance says graduate students should not submit GenAI-produced work for course assignments without explicit course-instructor permission or instruction.
Review: Agent reviewed
Normalized value: Graduate coursework GenAI use depends on instructor permission.
Original evidence
Evidence 1Without explicit permission or instruction from the course instructor, students should never submit work produced by any of the GenAI tools.
Localized display only
Graduate guidance says GenAI-produced coursework should not be submitted without explicit instructor permission or instruction.
Security Review
For units or individuals deploying AI-enabled systems that process University data, Waterloo IST says projects must undergo an Information Risk Assessment and receive Information Steward approval before using University data.
Review: Agent reviewed
Normalized value: AI-enabled systems processing University data require IRA and Information Steward approval.
Original evidence
Evidence 1All AI-enabled system projects must undergo an Information Risk Assessment (IRA). A Privacy Impact Assessment (PIA) may also be required, depending on the nature of the data being collected or processed. Approval from the appropriate Information Steward is required before using any University data, even if that data is publicly available.
Localized display only
IST says AI-enabled system projects require an IRA, may require a PIA, and need steward approval before University data use.
Research
For graduate research contexts, Waterloo's GenAI guidance directs graduate students to consult supervisors and, when applicable, advisory committees about the limits and scope of GenAI-tool use.
Review: Agent reviewed
Normalized value: Graduate research GenAI use should be discussed with supervisors or advisory committees.
Original evidence
Evidence 1For research, graduate students should consult with their supervisor(s) and advisory committee (if one exists) about the limit and scope of the use of GenAI tools, which is often discipline-dependent. Permitted uses and expectations for using GenAI tools should be communicated between the students and their supervisor(s).
Localized display only
Graduate guidance says research GenAI limits and scope should be discussed with supervisors and advisory committees where applicable.
Teaching
Waterloo's AVPA course-outline suggestions include sample language for instructors who permit GenAI use, specifying that such use may be allowed for assignments with proper documentation, citation, and acknowledgement.
Review: Agent reviewed
Normalized value: AVPA sample course-outline language supports permitted GenAI use with documentation, citation, and acknowledgement.
Original evidence
Evidence 1For instructors who permit generative AI use: Generative artificial intelligence (GenAI) trained using large language models (LLM) or other methods to produce text, images, music, or code, like Chat GPT, DALL-E, or GitHub CoPilot, may be used for assignments in this class with proper documentation, citation, and acknowledgement.
Localized display only
AVPA sample language permits GenAI use in assignments when documentation, citation, and acknowledgement are required.
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
AI System Deployment
uwaterloo.ca
AI tools
uwaterloo.ca
Artificial intelligence and ChatGPT
uwaterloo.ca
Artificial Intelligence at UW
uwaterloo.ca
Generative artificial intelligence (GenAI) guidance for graduate students and supervisors
uwaterloo.ca
Responsible Use of AI Tools with University Data
uwaterloo.ca
UW Course Outline Suggestions for Generative Artificial Intelligence
uwaterloo.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.