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AI & University Data

As AI becomes increasingly integrated into teaching, learning, research, and daily operations, protecting University data remains essential. In accordance with Executive Memorandum 42, institutional and research data must be classified and protected based on its risk classification and may only be entered, uploaded, processed, analyzed, generated, stored, or transmitted using University-approved AI technologies. Understanding the data you work with, the risks associated with AI, and the requirements for handling University information helps ensure the safe, secure, and responsible use of AI across the University.

Low Risk Data

Low risk, public information and data CAN be used within free, paid consumer (non-enterprise), and enterprise AI tools. While many course materials are considered low risk, copyright and intellectual property laws should still be considered. 

Learn about Low Risk Data

Medium Risk Data

Medium risk information and data may ONLY be used within enterprise AI tools. Medium risk information used within enterprise AI tools should be unidentifiable or receive prior approval by ITS or other necessary entities.

Learn about medium risk data

High Risk Data

High risk information and data may NOT be used within free, paid consumer (non-enterprise), or enterprise tools. Those requesting to use high risk information or data within enterprise AI tools will need prior approval.

Learn about high risk data

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IT Policies and Standards

Generative AI

The table below outlines what types of information may be entered into each type of tool.

Data Type Data Examples Risk Classification Free Tools Paid Consumer Enterprise Tools
Public Data Anything publicly available on the web Low Risk Yes Yes Yes
Institutional Data (Non-Sensitive) Public policies, handbooks, etc. Low Risk Yes Yes Yes
Student-Generated Learning Materials Student lecture notes, reading summaries, etc. Low Risk Yes Yes Yes
Educational Materials Readings, publisher or faculty PowerPoints, etc. Low Risk No* No* Yes
Institutional Data (Medium Sensitivity) Internal memos, budgets, etc. Medium Risk No No Yes
Anonymized Research Data Identifiable information removed, other information generalized, etc. Medium Risk No No Yes
Institutional Data (Sensitive) Social security numbers, credit/debit cards, student health data, employeee W-2, etc. High Risk No No No
Raw identifiable Research Data Identifiable human subject data High Risk No No No

* Copyright and intellectual property right concerns.