Policy presence
University of Regina has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Regina, Canada
University of Regina has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Regina has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
University of Regina has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Regina has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Regina has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Regina has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Regina has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Regina has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Regina has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
University of Regina has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
8 reviewed evidence-backed public claim
Privacy
Normalized value: GenAI project and system data is institutional data governed by privacy and data handling rules.
Evidencia original
Evidence 1Data used to develop algorithms or GenAI systems, and any data generated, shared, managed and/or recorded as part of an GenAI system's operation or algorithm, will be considered institutional data and must be managed in alignment with GOV-060-005 Freedom of Information and Protection of Privacy policy and the University's data handling standards.
Ai Tool Treatment
Normalized value: Formal GenAI operations policy for employee governance and operations use.
Evidencia original
Evidence 1This policy applies to the development, approval, use and management of GenAI software, systems, or platforms that may be used by University of Regina employees... All University use of GenAI must be ethical, reliable, transparent, secure and compliant with applicable laws and regulations.
Security Review
Normalized value: GenAI projects require risk assessment, and university-wide or enterprise-data GenAI uses require IT project approval.
Evidencia original
Evidence 1Any employee who is considering a GenAI project or system must identify, assess and analyze risks and opportunities... including privacy and security. Any University-wide GenAI project, tool, system or intended use of enterprise-level data requires approval through established IT project approval processes.
Ai Tool Treatment
Normalized value: Turnitin is the institutionally adopted AI-detection tool; non-approved AI-detection tools are not permitted.
Evidencia original
Evidence 1Due to the unreliability of AI-detection tools, and the possibility of false positives, the AI-detection report cannot be considered conclusive proof of academic misconduct... Turnitin is presently the only institutionally adopted plagiarism- and AI-detection tool and... instructors are not permitted to use non-approved tools for the purpose of AI-detection.
Academic Integrity
Normalized value: Student AI use is course/instructor-specific, and unauthorized use can be academic misconduct.
Evidencia original
Evidence 1Individual instructors may determine whether the use of AI will be permitted, and to what extent, when it comes to assigned course work... improper or unauthorized use of AI can constitute academic misconduct.
Teaching
Normalized value: Faculty/instructor guidance recommends clear rules, disclosure, and privacy/IP protection for GenAI in coursework.
Evidencia original
Evidence 1It is strongly recommended that instructors incorporate a statement on the use of generative AI into course syllabi... Instructors should require students to disclose when and how they've incorporated AI into their coursework... Instructors should also endeavour to protect the privacy and intellectual property of students in any use of generative AI in teaching.
Academic Integrity
Normalized value: Library guidance frames acceptable GenAI use around permission, assignment instructions, accuracy checks, and citation.
Evidencia original
Evidence 1These questions will guide you in determining whether or not use is acceptable: 1. Do you have permission to use AI in your program or course work? 2. Have you followed the assignment instructions? ... 4. Have you checked if the GenAI output is accurate? 5. Have you cited GenAI in your work?
Academic Integrity
Normalized value: Library citation guidance advises instructor confirmation and style-specific treatment for AI-generated materials.
Evidencia original
Evidence 1In general, though, you should treat AI-generated materials as a non-recoverable source and/or akin to personal communication... As always, please be sure to check with your instructor if in doubt about when to cite AI and what style to use.
0 machine or needs-review claim
5 source attribution
uregina.ca
library.uregina.ca
library.uregina.ca
ctl.uregina.ca
uregina.ca