Five steps to build an AI policy for your educational institution
Banning does not work, and allowing everything without rules does not either. A practical path for leaders and teachers to agree on meaningful use of generative AI.
Generative AI is already in classrooms, whether it was authorized or not. Students and teachers use it to write, summarize, translate and plan. The question for institutions is not whether to allow it, but how to guide its use so it strengthens learning rather than replacing it.
1. Diagnose before you regulate
A short survey of teachers and students reveals which tools are used, for what, and with what concerns. That diagnosis prevents desk-written policies nobody follows.
2. Define principles, not just prohibitions
Transparency, academic integrity, privacy and human oversight remain valid even as tools change. A list of banned apps, by contrast, goes stale within weeks.
3. Set levels of use per activity
- No AI: individual comprehension assessments.
- AI to explore: brainstorming and initial research, with disclosure.
- Integrated AI: tasks where using AI is part of the assessed skill.
4. Train before you require
No policy works if teachers do not know the tools. Hands-on training with examples from their own subject is the investment that most accelerates responsible adoption.
5. Review every semester
Technology moves fast. A small committee that gathers cases, questions and lessons lets you adjust the policy without starting from scratch each year.