The Shift
How AI Is Changing Academic Integrity
AI tools can help students brainstorm, edit and draft. Whether that use is acceptable depends on the assignment and the institution’s rules.
Explain the permitted uses, ask students to disclose assistance, and give faculty a consistent process for assessing concerns. UNESCO’s guidance places human judgment, privacy and institutional readiness at the centre of AI adoption.
- Clear rulesDefine what each assignment permits.
- Useful disclosureAsk which tool was used and for what purpose.
- A fair processCheck the evidence and give students a chance to respond.
Common Mistakes
What Institutions Get Wrong About AI and Integrity
Rules become difficult to apply when they leave students guessing. A blanket instruction such as “no AI” may not explain whether spelling assistance or an AI-enabled search tool is allowed.
Course-level differences can be appropriate, but they should be explicit. Give instructors shared definitions, a disclosure format and a procedure for handling concerns.
- Define the taskExplain which assistance is permitted for this assignment.
- Explain the differencesMake course-specific rules easy for students to find.
- Separate a flag from a findingAn automated result cannot make the misconduct decision.
Framework
The AI Academic Integrity Framework
Six parts of an AI-use policy: clear rules, student disclosure, tool evaluation, faculty training and a fair process for handling concerns.
AI Use Policy
Define permitted assistance, required disclosure and the assignment’s authorship expectations.
Student Disclosure Process
Ask students to identify the tool, purpose and parts of the work that were assisted.
AI Detection Tools
If using a detector, inspect flagged passages and explain that scores can be wrong.
Evaluation Criteria
Compare error rates, language coverage, privacy, report detail and access limits.
Faculty Training
Practise reading reports and discussing concerns without presuming misconduct.
Escalation Process
Follow an established process with clear responsibilities and an opportunity to respond and appeal.
Stronger Together
AI Detection Works Best with the Right Framework Around It
Detection can highlight passages to inspect. The surrounding process determines how a concern is assessed.
- Policy: identify the assignment rule that may be relevant.
- Disclosure: compare the student’s stated use with the permitted uses.
- Sources and drafts: check the writing and available records.
- Conversation: let the student explain their choices.
- Decision: follow the institution’s procedure and appeal route.
Cornell’s teaching guidance cautions that automated detectors cannot provide definitive evidence of a violation. Read the committee guidance.
Free Resources
The AI Academic Integrity Resource Library
Every resource below is free, requires no signup, and works with any AI detection tool. They are grouped by role so administrators, faculty, and students each get exactly what they need. The templates and forms are designed to be customized for your institution and used as-is or adapted to fit existing academic integrity workflows.
Click any resource to download it.
- Download AI Policy Template (.docx)Customizable policy covering AI use definitions, disclosure requirements, detection process, escalation framework, and appeals. For administrators.
- Download AI Detection Checklist (PDF)32 actionable items across 6 categories, from pre-semester setup to handling flagged work. For faculty.
- Educator's Guide to AI DetectionHow AI detection works, what to look for in a tool, handling flagged work, and building an AI policy. For faculty.
- Download Student AI Disclosure Form (PDF)One-page form to attach to assignments. Captures what AI tool was used, for what purpose, and which sections were AI-assisted. For students.
- AI Detection Glossary40+ terms defined in plain language: perplexity, burstiness, false positives, sentence-level analysis, and more. Reference.
Implementation
Getting Faculty Buy-In on AI Integrity Policies
Give faculty clear examples and a process they can use.
- Try the process in a small group of courses. Collect questions from students and instructors before expanding it.
- Reduce duplicate work. Use a shared disclosure form and a consistent way to record concerns.
- Practise difficult cases. Discuss false positives, permitted assistance and conversations with students.
Use the Educator’s Guide to AI Detection as a practical companion.
Quick reference
Frequently Asked Questions
How is AI affecting academic integrity?
AI can assist with research, editing and drafting. Institutions need clear rules about permitted assistance, disclosure and authorship so students and faculty know what is expected.
What should an academic integrity policy say about AI?
Define permitted uses, disclosure requirements, privacy rules, how concerns will be assessed, and how students can respond or appeal. Explain where course-specific rules may differ.
Can universities detect AI writing?
Detectors can estimate whether writing resembles AI-generated text, but they can make mistakes. An institution should not treat a score as definitive evidence of authorship or misconduct.
Are AI detectors fair to non-native English speakers?
Performance can vary across writer populations and languages. Check relevant independent evaluations and provide a fair process for challenging a result.
What tools support an AI academic integrity process?
Start with clear assignment rules, a disclosure form, secure recordkeeping and faculty training. If detection is used, assess its limitations and how it fits the institution’s procedure.
Should schools ban all AI use?
A school should decide which uses support its learning goals and which undermine the assignment. Specific, clearly communicated rules are easier to apply than an unexplained blanket statement.
Put the guide into practice
AI Detection Built for Academic Integrity
Check documents, inspect highlighted sentences and save reports for discussion. Use the findings alongside sources, drafts and your institution’s policy.