From the disclosure framework in ChatGPT Ate My Homework
Students aren’t the problem.
Silence is.
Set up an AI policy in under five minutes. Students disclose in under three. Save reusable policies, organize courses, and keep disclosure focused on reflection, not surveillance.
Three strategies. Only one works.
Most institutions fall into predictable patterns. Here's why none of them scale — except one.
"Ban everything"
Unenforceable, damages trust, and pushes use underground. Students learn to hide rather than reflect. The detection arms race has no winner.
"Allow everything"
Abandons integrity and learning goals. Without boundaries, students can't develop the metacognitive skills that matter. Good intentions, no structure.
"Define it. Disclose it. Trust it."
Clear policies. Honest disclosures. "Can I use AI?" is not one question — it is fifteen, and the answers differ. This tool asks them one at a time, in language students can act on.
Three simple steps. Five minutes total.
No accounts to create, no software to install. From first click to student link — the whole setup takes minutes.
Instructor sets the policy
Set expectations for 15 AI-use activities organized into four practical groups—just click the rating for each. A live preview shows exactly what students will see. Most instructors finish in under five minutes.
Students get a single link
Drop the link into your LMS, email, or assignment instructions — that's it. No sign-ups, no passwords. Students review the policy, answer a quick comprehension check, and they're ready to start.
Disclose and download — done
After the assignment, students return, check the boxes that apply, and download a professional PDF disclosure in under three minutes. No accounts, no waiting — transparent, honest, done.
The 15-activity policy
Designed to work alongside AIAS 2.1 (Perkins, Roe, Furze & MacVaugh) by turning assessment design into clear, student-facing expectations. Here is what an example policy looks like:
Getting Started and Researching
Exploring topics, understanding material, planning, and beginning research
Reviewing and Checking Your Work
Reviewing clarity, references, claims, and source understanding
Revising, Translating, and Troubleshooting
Reworking existing material, translating language, and troubleshooting code
Generating Content and Analyzing Information
Generating substantive text, media, code, analysis, or other content
Transparency builds more trust than surveillance.
Students who understand a policy follow it.
Disclosure is not a confession. It’s professional practice.
The goal is not to catch students. It’s to help them learn.
Built for both sides of the classroom.
For Instructors
- Configure a 15-activity policy in minutes
- Designed to work alongside AIAS 2.1
- Real-time student-facing preview as you build
- Generate a shareable link for any LMS
- No student data collected
For Students
- Clear, readable policy — no legal jargon
- Three scenario-based reflection questions
- Declare which tools you used and how
- Download your completed PDF disclosure
Grounded in research. Built from experience.
AI Assessment Scale
The assessment-design foundation. AIAS 2.1 (Perkins, Roe, Furze & MacVaugh) helps educators decide what role AI should play and align the task, evidence, and assessment criteria with that decision.
aiDisclose is listed on the AIAS resources page.
Restorative Integrity
The philosophical framework. Repair harm rather than deliver punishment. Students who understand a policy act more transparently than students who fear one.
The Disclosure Method
From the disclosure framework in ChatGPT Ate My Homework (Amlani & Davis, 2025).
Created by Alym Amlani.