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About this tool
Check whether your AI use on an assignment matches typical institutional permission, disclosure and verification rules.
The AI Academic Integrity Checklist is a ten-item self-audit that checks whether your AI use on an assignment matches the requirements common across institutional policies: permission, disclosure, authorship of the submitted work, verification of AI output, and data handling. Items are tiered by severity — any failed critical item (like undisclosed AI use where disclosure is required) flags the submission as high risk, while important and advisory gaps produce a caution. Students get a concrete pass/fix list instead of a vague worry.
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Critical items (permission, disclosure, authorship) are separated from important safeguards and good-practice notes, so you know what actually blocks submission.
Permission, disclosure, authorship, verification and data handling — the axes most university AI policies are built on.
Failed items come out as a prioritised list you can work through, with a compliance score out of 100.
It depends on your institution and often on the individual course: many syllabi now require an acknowledgement statement, a citation of the tool, or a description of how AI was used, while some ban AI use entirely and some require nothing. The checklist's disclosure items exist because undisclosed use where disclosure is required is one of the most common AI-related integrity violations.
Four items are critical: not knowing your institution's AI rules for the assignment, using AI in a way that is not permitted, failing to disclose when disclosure is required, and submitting AI-generated output as your own work. A "No" on any of these typically constitutes a violation on its own under common policies, so the tool marks the submission high risk.
Because AI assistants are known to fabricate plausible-looking citations — papers, authors and page numbers that do not exist. Submitting a hallucinated reference is an integrity problem even when AI use itself was permitted, so verifying every AI-suggested source is an important-tier item.
No. It generalises the requirements that recur across institutional policies, but your own institution's policy is the only authority, and rules can differ per course and per assignment. Use the result as a pre-submission routine and ask your instructor when anything is unclear.