Allowed
Planning, tutoring, source organization, code debugging, dataset cleanup, study scaffolds, and project management when the student understands the work.
Non-negotiable
AI should make the student more capable.
The workshop is built around a simple standard: AI can support learning, research, and project execution. It cannot become a hidden substitute for the student's own work.
Risky
Heavy rewriting, undisclosed assistance, unverified summaries, generated citations, and code the student cannot explain.
Not okay
Submitting AI work as original student work, fabricating sources or results, bypassing school policies, or using AI where the assignment forbids it.
Every guide gets an integrity box
The policy travels with the workflow.
Students should be able to answer four questions.
- What did AI help with?
- What did I personally understand, change, test, or write?
- What sources or evidence support this claim?
- What remains uncertain?
Workshop standard
Portfolio proof requires explanation.
A student who builds a website, dataset, app, or research memo with AI should be ready to explain how it works, what sources it used, what was verified, and where the student's own decisions changed the result.