3.6.1: Sample institutional or course-level policies

Creating clear, well-structured policies around AI use helps institutions and instructors set expectations, maintain academic integrity, and protect student rights. Whether developed at the college-wide level or customized for individual courses, these policies should clarify acceptable use, privacy protections, and ethical boundaries.

🏛 Institutional-Level AI Policy Elements
Effective institutional policies often include:

• Definition of AI use: Clearly describe what constitutes AI use in academic settings (e.g., generative writing tools, predictive analytics, adaptive learning platforms).
• Acceptable use guidelines: Outline when and how AI may be used for teaching, assessment, grading, or student support.
• Data governance protocols: Detail how student data is protected when AI tools are used and who has access.
• Faculty and student responsibilities: Identify the obligations of instructors and students when using AI tools, including disclosure and consent.

📘 Course-Level AI Policy Elements
Instructors can supplement institutional guidance with course-specific expectations:

• Disclosure of AI use: Explain where and how AI will be used in the course (e.g., assignment feedback, discussion prompts, or content creation).
• Student use guidelines: Define when students may or may not use AI (e.g., brainstorming okay; writing full essays not okay).
• Ethics and citation: Clarify whether students must cite AI tools and how to do so.
• Alternatives or opt-outs: Offer flexibility for students uncomfortable using AI tools.

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