AI Practices that Work
Establishing Trust, Transparency, and Boundaries in the Classroom
Every teacher knows that the speed of AI adoption, both by students and within academic disciplines, is forcing a fundamental shift in our pedagogical practices. While faculty are encouraged to incorporate statements about AI use in their course syllabi, not every teacher feels equipped to lay down AI policies that govern its use in their classrooms.
AI use by students is outpacing policy. Increasingly, a concern for the balance between ethical use and development of future skill sets, requires faculty to take a position on how it will be used within the courses they teach and what expectations are established among the students they serve.
Faculty across multiple disciplines have developed strategies to establish shared values, expectations and policies that govern the use of AI in their classrooms. These practices, shared below, help establish an environment of trust and transparency that shape behaviors that are permissible and relevant to students today.
Framework for Classrooms
Identifying the level of acceptable use of AI, even if it is NOT permitted, is a critical step in setting limits and defining potential misconduct issues that can arise. SU has suggested the use of a three-tier system, classifying permissible use as:
- AI Inclusive: Students are encouraged to utilize AI tools openly throughout the course.
- AI Conditional: AI use is permitted only under specific circumstances or for designated milestones.
- AI Restrictive: AI tools are not permitted, and work must be entirely student generated.
The level of permissible use within a course should be plainly stated using these classifications in the syllabus, which serves as an operational contract between instructor and student. Within a course, individual assignments can be tagged with these classifications to provide even greater detail to students of how acceptable use is defined.
Building Trust through Transparency
Transparency about the acceptable use of AI with respect to assignments within a course is vital to acknowledging its role in the learning process. Providing a citation format for disclosing use of AI within the context of the course helps students acknowledge the role AI played in the completion of their assignments, and documents that its use was within the permissible guidelines identified by the instructor. However, transparency goes both ways – disclosure includes sharing how the instructor may have used AI in the generation of lesson plans, assignments, or other course management activities.
Practicing Data Stewardship and Integrity
Formulating a policy of acceptable and inappropriate uses of AI within a course relies on a common understanding of what constitutes misuse or misconduct in an academic setting. Clarity in defining integrity with respect to content that can be submitted or not to GenAI platforms is critical to establishing these boundaries. Students must be made aware of limits on use of instructor notes or materials, personally identifiable information, or secure or private communications when using AI tools or platforms.
Assessment Evolution
A core concern for faculty is that students might be offloading cognitive development in exchange for easy to generate assignments. Detection of AI generated content is becoming virtually impossible with the upgrades to even the free versions of AI platforms. The focus for teachers must shift to identifying assessments that are authentic in nature, that cannot be easily produced using AI tools but still demonstrate the skills that are desired within the context of their courses. The redesign of assessments can be the single most effective approach to protecting the measurable outcomes of a course.
Conclusion
Ultimately, establishing clear AI policies is not about restricting innovation or policing student behavior; it is about creating a stable foundation for meaningful learning to occur. By embracing a structured framework, prioritizing two-way transparency, and committing to assessment evolution, faculty can demystify AI's role in the classroom. Guardrails that build trust and protect academic integrity ensure that as technology continues to reshape academic disciplines, our pedagogical practices remain grounded in what matters most: authentic student growth and engagement.
Other resources
Tutt, P. (2026, July 10). 8 Classroom AI Policies Developed by Teachers. Edutopia, https://www.edutopia.org/article/8-classroom-ai-policies-developed-by-teachers