Course Rule
State the default expectation and the role of instructor judgment.
A workable AI policy must be clear enough to teach, specific enough to apply to assignments, and realistic enough to enforce. FacultyGuard helps translate your instructional goals into usable policy and communication.
Policy Design
A single blanket statement often fails because different assignments measure different kinds of learning. FacultyGuard separates course-level expectations from assignment-level guidance, disclosure requirements, and student-facing explanations.
State the default expectation and the role of instructor judgment.
Specify where AI use is prohibited, limited, or intentionally integrated.
Define when and how students should disclose permitted AI assistance.
Explain the reasoning and expectations in language students can follow.
Implementation
FG System 5 can include syllabus language, assignment-level AI guidance, disclosure language, student FAQs, and implementation communications. The goal is not to make AI the center of the course; it is to make expectations clear enough that teaching can remain the center.
Related FacultyGuard Resources
Questions from Faculty
Yes. Assignment-specific guidance is often more workable because learning objectives differ across activities.
FacultyGuard does not impose one policy model. The appropriate approach depends on learning outcomes, assignment design, institutional policy, and enforceability.
Yes. Existing policy language can be reviewed for clarity, assignment alignment, student understanding, and practical enforcement.
Start With Your Teaching Environment
Complete the Faculty Profile to identify your recurring workload, current practices, and priorities. FacultyGuard reviews the profile before recommending a project tier or FG System.