Policy presence
Dalhousie University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Nova Scotia, Canada
Dalhousie University
Dalhousie University is listed as QS 2026 rank 283. Dalhousie University has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Dalhousie University is listed as QS 2026 rank 283. Dalhousie University has 5 source-backed AI policy claim records from 3 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 Dalhousie University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/dalhousie-university.json. The entity-level confidence is 93%. 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 Source status 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.
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
Dalhousie University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Dalhousie University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Dalhousie University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Dalhousie University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Dalhousie University has 1 source-backed public claim for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
Dalhousie University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
Teaching
Dalhousie's course syllabus guide says syllabi should include a statement about instructor expectations around generative AI and large language models such as ChatGPT.
Review: Agent reviewed
Normalized value: syllabi_should_include_genai_llm_expectations
Original evidence
Evidence 1Include a statement about your expectations around generative AI and large language models (e.g., ChatGPT). See Dalhousie’s AI Guiding Principles for additional information.
Academic Integrity
A Dalhousie CLT generative AI teaching handout says current detection tools that claim to identify AI-generated work are not reliable and are not recommended.
Review: Agent reviewed
Normalized value: clt_guidance_ai_detection_tools_not_recommended
Original evidence
Evidence 1Current ‘detection tools’ that claim to identify whether a piece of work was generated by artificial intelligence are NOT RELIABLE and are not recommended.
Teaching
Dalhousie's CLT course design guidance tells instructors concerned about student generative AI use in coursework to talk with students about what they can and cannot use it for and how to use it appropriately.
Review: Agent reviewed
Normalized value: clt_guidance_discuss_permitted_genai_coursework_use
Original evidence
Evidence 1If you’re concerned about students using generative artificial intelligence for course work, talk with students about gen A.I. (what students can and can’t use it for, how to use it appropriately, etc.).
Academic Integrity
A Dalhousie CLT generative AI teaching handout says current academic integrity policy already covers generative AI use because students complete assignments on their own and must acknowledge sources of information or ideas that are not their own.
Review: Agent reviewed
Normalized value: clt_guidance_academic_integrity_policy_covers_genai_use
Original evidence
Evidence 1Current Academic Integrity Policy already covers the use of Generative AI as it states that students must be responsible learners, which means that: Students complete assignments on their own. Students must acknowledge any sources of information or ideas when they are not their own.
Source Status
Dalhousie's public CLT course design page links to A.I.-driven course-delivery guiding principles, but the linked SharePoint source requires login and was inaccessible to this public crawl.
Review: Agent reviewed
Normalized value: ai_guiding_principles_link_login_required
Original evidence
Evidence 1Read Dalhousie's Guiding Principles with respect to A.I.-driven tools for course delivery [login required] or learn more on the CLT’s GenA.I. in Teaching and Learning resource.
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
3 source attribution
Course Design Recommendations - Centre for Learning and Teaching
dal.ca
Course Syllabus Guide
cdn.dal.ca
Generative AI in Teaching and Learning
cdn.dal.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.