St. John's, Canada

Memorial University of Newfoundland

Memorial University of Newfoundland has 4 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 18, 2026.

Memorial University of Newfoundland AI policy short answer

v1 public contract

Memorial University of Newfoundland 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 18, 2026. Discovery context: Memorial University of Newfoundland is listed as QS 2026 rank =660.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Memorial University of Newfoundland as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 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/memorial-university-of-newfoundland.json. The entity-level confidence is 97%. 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.

Claim coverage4 reviewedSource languageen-CAPublic JSON/api/public/v1/universities/memorial-university-of-newfoundland.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Security review claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

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.

Policy presence

Memorial University of Newfoundland has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence81%Evidence1Sources1

AI disclosure

Memorial University of Newfoundland has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence1Sources1

Privacy and data entry

Memorial University of Newfoundland has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Named AI services

Memorial University of Newfoundland has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Teaching guidance

Memorial University of Newfoundland has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

Memorial University of Newfoundland has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

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

Academic Integrity

Memorial University's 2025-2026 University Calendar lists submission of work created through unauthorized use of generative AI tools and presented as a student's original work as an academic offence.

Review: Agent reviewedConfidence97%

Normalized value: unauthorized_generative_ai_submission_academic_offence

Original evidence

Evidence 1
Use of generative artificial intelligence (AI): The submission of work that has been created through the unauthorized use of generative artificial intelligence (GAI) tools and presented as a student’s original work.

Security Review

Memorial CIO guidance says university data should be handled with AI tools that are approved or recommended by the university, and users should avoid uploading sensitive or confidential data to unsecured AI platforms.

Review: Agent reviewedConfidence95%

Normalized value: approved_recommended_ai_tools_for_university_data_avoid_sensitive_confidential_uploads

Original evidence

Evidence 1
When using university data, use AI tools that are approved or recommended by the university. Avoid uploading sensitive or confidential data to unsecure AI platforms.

Localized display only

When using university data, use university-approved or recommended AI tools and avoid uploading sensitive or confidential data to unsecured AI platforms.

Ai Tool Treatment

Memorial Libraries' AI academic work guide says students must acknowledge any AI-generated content used in academic work and are not permitted to present work created through unauthorized generative AI tools as their own original work.

Review: Agent reviewedConfidence92%

Normalized value: acknowledge_ai_generated_content_and_no_unauthorized_genai_as_own_work

Original evidence

Evidence 1
Therefore, you must acknowledge any use of AI-generated content in your academic work. You are not permitted to create work using unauthorized generative artificial intelligence (AI) tools and present it as your own original work.

Localized display only

Students must acknowledge AI-generated content used in academic work and may not present work created through unauthorized generative AI tools as their own original work.

Teaching

Memorial's Centre for Innovation in Teaching and Learning presents GenAI as a teaching and learning support area and offers instructor consultations and department-level presentations on appropriate GenAI use in course development.

Review: Agent reviewedConfidence88%

Normalized value: citl_genai_teaching_and_course_development_support

Original evidence

Evidence 1
CITL's Educational Developers, Senior Instructional Designers and Instructional Designers can provide guidance on assessment design and the appropriate use of GenAI in course development activities.

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

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.

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

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.

Back to universities