AI principles

Public

Meridian's commitments for adopting AI responsibly across the university.

Human-centered

AI supports — it does not replace — human judgment in teaching, assessment, and decisions about people.

Transparent

The community can see what AI tools exist, who owns them, and what data they may handle.

Private & secure

AI use follows the university's privacy, security, and data-classification requirements by default.

Equitable & accessible

Approved tools are evaluated for accessibility and offered broadly so benefits are shared across campus.

Acceptable use

Institution-wide

What you may and may not do with university AI tools.

You may

  • Use approved tools for coursework, research, and university work
  • Enter Public and Internal information
  • Use AI to draft, summarize, analyze, and learn
  • Build on the approved API gateway with review

You may not

  • Enter Confidential or regulated data into general tools
  • Use AI to make final decisions about people without review
  • Bypass the gateway to send data to unapproved services
  • Misrepresent AI output as independently verified fact

Academic integrity & AI

Public

AI use in coursework is set at the course level. These are the common patterns instructors choose from.

Course stanceWhat it meansStudent action
AI not permittedNo AI assistance on graded workDo not use AI tools for the assignment
AI permitted with disclosureAI allowed if you say how you used itAdd a brief AI-use note to your submission
AI permitted freelyAI use is an expected part of the workUse AI as a normal tool; verify outputs
AI requiredThe assignment is about working with AIFollow the prompt's specific instructions

The syllabus governs. When a course policy and a tool's capabilities disagree, the course policy wins. If a syllabus is silent, ask the instructor before using AI on graded work.

Data classification for AI use

Institution-wide

The single most important question before using any AI tool: what kind of data am I putting in?

ClassificationExamplesWhere it's allowed
PublicCourse catalog, published research, public web textAny approved AI tool
InternalDraft documents, internal email, non-sensitive operationsMeridian GPT, Copilot, approved suites
ConfidentialStudent records, PII, financial or health dataOnly reviewed business systems or the Research Cluster
RegulatedHIPAA, FERPA-protected, export-controlled dataSecure Research AI Cluster, by agreement only

Not sure how something is classified? Treat it as Confidential until you confirm, and contact the Information Security Office.

NIST AI RMF profiles

Restricted Internal

Meridian adapts the NIST AI Risk Management Framework into context-specific profiles. Each profile tailors the framework's four functions — Govern, Map, Measure, Manage — to a particular setting, and guides how services in that setting are reviewed and approved.

The profiles split across the two governance lanes: most govern how AI is used in a context (Teaching, Research, Administration, Student Engagement), while Agentic & Cloud AI governs the shared platform itself — the AI API gateway behind Meridian GPT.

ProfileWhat it tailorsOwnerVisibility
Teaching & LearningAI in instruction, assessment, and academic supportAI Governance Committee + ProvostRestricted
Research & ScholarshipSensitive-data research, reproducibility, secure environmentsResearch Computing + IRBRestricted
Administration & OperationsStaff productivity, records, business-system AIOffice of the CIORestricted
Student EngagementCRM, advising, and communications AIEnrollment ManagementRestricted
Procurement & Vendor AIDue diligence, contracts, and vendor assuranceProcurement + Information SecurityRestricted
Agentic & Cloud AIAutonomous agents and the AI API gatewayEnterprise ArchitectureRestricted

Public summaries, internal detail. Full profiles are Restricted Internal because they document specific risk treatments. Meridian publishes a short public summary of each so the community understands the expectations that apply to its setting.