TRU horaizon

TRU AI Use & Governance Guidelines

Guidelines

Reference: BRD16-1 Information Security 

Reference: BRD16-1 Information Security 

Reference: BRD16-0 Responsible Use of Information Technology and Services

Reference: Guiding Principles for GenAI in Teaching and Learning 

Reference: Guiding Principles for GenAI in Teaching and Learning 

Reference: Guiding Principles for GenAI in Teaching and Learning, Artificial Intelligence: A Guide for Students

Reference: ED 15-2 Integrity in Research and Scholarship, BRD 02-1 Signing Authority

Reference: BRD16-0 Responsible Use of Information Technology and Services 

Reference: ED 05-0 Student Academic Integrity, Artificial Intelligence: A Guide for Students

Reference: TRU Horaizon

Purpose & Scope

These guidelines establish a unified, institution-wide framework for safe, ethical, equitable, and effective use of Artificial Intelligence (AI) at TRU. They apply to students, faculty, staff, and researchers, with additional role-specific expectations.

Goals:

  • Support the TRU community on the foundational thinking of AI.
  • Enable confident action by the TRU community.
  • Build practical judgment for the TRU community.
  • Encourage learning, experimentation, and escalation in a responsible manner.
  • Protect privacy, security, academic integrity, and institutional trust.
  • Provide a foundation for future role-specific sub-guidelines.

Guiding Principles

Human Accountability

Users remain responsible for decisions and outputs.

Privacy first

Protect personal and confidential information.

Transparency

Disclose meaningful AI involvement where required.

Equity & inclusion

Reduce barriers and mitigate bias.

Security by design

Use TRU-approved tools and follow information-security best practices.

Continuous improvement

Review guidelines annually or when laws or technologies change.

Align with TRU policies

FIPPA, academic integrity standards, research ethics, and cybersecurity practices.

Definitions

Personal Information

is information about an individual who can be identified either from the information itself, or in combination with other available information. [FIPPA definitions]

  • Any student information is personal information, including the fact that an individual is a TRU student.
  • Business contact information (name, title, work phone/email) is not personal information.

Non-sensitive data

refers to information that cannot be used to identify an individual, either on its own or in combination with other data. This includes general, anonymized, or aggregated content that does not contain personal identifiers.

  • Examples of non-sensitive data include meeting agendas without names, generic templates, anonymized survey results, and content that excludes personal details.
  • Personally identifiable data is not considered non-sensitive and must not be used in AI processes unless permitted and protected.

Tool Approval, IT Security & Responsible Use

  • Use only TRU-approved AI platforms for any work involving sensitive or personal information.
  • Do not share or store credentials in AI tools.
  • Avoid personal accounts or consumer services for TRU business.
  • Follow TRU IT Security guidelines, including remote-work safeguards.

Transparency, Accuracy & Academic Integrity

  • Disclose meaningful AI use as required by instructors, departments, or publishers.
  • AI must not be listed as an author.
  • Students must follow assignment-specific rules.
  • Cite AI tools appropriately when required.

Academic Integrity violations include:

  • Using fabricated or AI-generated sources.
  • Submitting AI-generated work as original work when not allowed.
  • Misrepresenting AI contributions.

Further Details & Resources

FIPPA legal definitions

Expanded explanations (Horaizon Guidelines PDF)