Commercially available generative AI tools provide powerful ways to support administrative work and improve efficiency. However, their use must align with university policies and uphold standards for privacy, accuracy, and ethical conduct. This resource outlines guidelines for campus community use of generative AI tools and links to relevant University of Puget Sound policies.
Users must not input confidential, sensitive, or personally identifiable information (PII) into generative AI tools unless the tool has been formally reviewed and approved through university processes. This includes student records, personnel files, health data, financial information, and unpublished research.
The Data Classification Policy defines three data categories:
- Unrestricted: Publicly available and appropriate for open sharing.
- Controlled: Internal-use data that must be protected from external disclosure.
- Confidential: Highly sensitive data, including both regulated (e.g., FERPA, HIPAA) and unregulated data requiring strong protection.
The Data Protection Procedures further outline the safeguards required for each classification level. All Data Users are responsible for ensuring they understand and comply with these requirements when using AI tools.