Using Transparency: Developing AI Integrity Statements, Group Norms, and Community Agreements

This 45-minute course introduces participants to the practice of using transparency when working with AI. As AI becomes part of everyday communication, project work, writing, analysis, and collaboration, people need clear ways to explain how AI was used, what remains human-led, and what others can trust about the final product.

Participants will learn how to create AI Integrity Statements for common workplace and learning contexts, including emails, reports, presentations, project plans, shared documents, and collaborative assignments. The course emphasizes that transparency is not simply disclosure for its own sake; it is a trust-building practice that helps clarify authorship, accountability, privacy, judgment, and appropriate use.

Participants will also explore how teams, classes, and working groups can create shared AI norms or community agreements. These agreements help establish when AI use is encouraged, limited, optional, prohibited, or requires disclosure. Rather than relying on vague rules or assumptions, the course gives participants practical language for naming expectations before conflict or confusion arises.

By the end of the course, participants will be able to explain why AI transparency matters, distinguish between different levels of disclosure, draft an AI Integrity Statement for a specific communication or project, and contribute to group norms that support responsible, respectful, and trustworthy AI use.