Policy presence
Dalhousie University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Nova Scotia, Canada
Dalhousie University
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
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
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