
Students can use AI without cheating by following one rule: the submitted work must be the student's own thinking, produced within whatever the instructor allows for that assignment. A September 2026 KPMG Canada survey found 75 per cent of Canadian students now use generative AI for schoolwork, yet 72 per cent of educators call AI-assisted schoolwork cheating, and only 53 per cent of students have received formal instruction on using AI responsibly. The gap between adoption and guidance is exactly where students get into trouble. This guide closes it: clear boundaries, plus practical workflows for summarizing, quizzing, and drafting that keep the learning, and the credit, yours.
Key takeaways
- The integrity line is set by your instructor and your institution, and it can differ from one course or even one assignment to the next.
- AI is safest as a tutor, not a ghostwriter: use it to explain, summarize, and quiz, then write the submission yourself.
- Keep your drafts and notes. Showing your work process is the strongest defence if your AI use is ever questioned.
- 51 per cent of Canadian students say their critical thinking has slipped since they started using generative AI, using AI badly costs you the skills you're in school to build.
- When in doubt, ask the instructor before the assignment, not after.
Why the rules feel unclear right now
Adoption has outrun instruction. Rob Clayton, KPMG Canada's national education practice leader, put it bluntly in the firm's September 2026 survey release: adoption happened faster than building the systems needed to teach students how to use these tools responsibly. The numbers back him up:
- 75 per cent of Canadian students use generative AI in their schoolwork.
- 51 per cent say their critical thinking skills have deteriorated since they began using it, and 69 per cent believe their peers rely on AI to avoid critical thinking.
- 89 per cent of educators say students may be developing problematic habits without proper guidance.
- Only 53 per cent of students have received formal instruction on responsible AI use, while 70 per cent of students want more courses on it, and 79 per cent of educators say students should be explicitly taught it.
Students and teachers are also talking past each other. A Stanford Graduate School of Education study of nearly 30,000 high school students (through the Challenge Success project) found that 32.8 per cent reported using AI as an unauthorized aid, almost exactly matching the 32.7 per cent who reported copying someone else's homework. Many students told researchers they see consulting AI as no different from asking a parent, calling a tutor, or typing a question into Google. Teachers see it differently: in a survey of 678 faculty and staff, the most common concern (about 58 per cent) wasn't cheating itself but the erosion of critical thinking.
The practical upshot: schools and instructors are setting AI rules at different speeds. Refdesk's October 2026 guidance to students is the right starting point, ask each instructor what is allowed on each assignment, and keep drafts and notes that show your own work.
The integrity line: what's allowed and what isn't
Academic-integrity policies differ across institutions, so treat this as a framework, not a rulebook, your course outline and instructor have the final word.
Generally acceptable (confirm with your instructor):
- Asking AI to explain a concept you're stuck on, the way you'd ask a tutor.
- Summarizing readings or lecture notes to check your own understanding.
- Generating practice questions to quiz yourself before a test.
- Brainstorming outlines or angles for an essay you then research and write yourself.
- Proofreading your own draft for grammar and clarity.
Generally not acceptable:
- Submitting AI-written text as your own work, essays, lab reports, discussion posts, or code you didn't write.
- Having AI "paraphrase" a source to dodge plagiarism detection. That is still misrepresentation of authorship.
- Using AI on an exam or timed assessment where it wasn't permitted.
- Fabricating sources: AI tools invent plausible-looking citations. Any reference you didn't verify yourself can be fictional.
The grey zone, ask first:
- Drafting with AI assistance and then heavily editing. Some instructors allow this with disclosure; some ban it outright.
- Translating or restructuring your own writing. The ideas are yours, but policies differ.
- Using AI for take-home problems where collaboration rules are strict.
One test that survives every policy: could you defend your submission, in person, without the AI in the room? If an instructor asked "walk me through how you solved this," and you'd have nothing to say, the tool did the learning instead of you, and that is the part schools care about most.
Three practical workflows that stay on the right side
These workflows treat AI as a study aid whose output never becomes your submission.
1. The summarizing workflow
- Read the chapter or article yourself first and take your own notes.
- Paste your notes (not the original text, if copyright or course rules restrict that) into the AI tool and ask it to identify the three strongest arguments and any gaps in your understanding.
- Compare the AI's summary with your notes. Where they disagree, go back to the source, the disagreement is where the learning happens.
- Write your final summary yourself, in your own words.
This keeps AI in the role of a study partner reviewing your work, and it builds the exact skill, critical reading, that 51 per cent of Canadian students say is slipping.
2. The quizzing workflow
- After studying a topic, ask the AI to generate practice questions at increasing difficulty, without showing you the answers.
- Answer them closed-book, in writing.
- Then ask the AI to check your answers against the material and explain each mistake.
- For every mistake, write a one-sentence correction in your own words.
Self-testing is one of the most evidence-backed study techniques there is. An AI quizzer is available at 11 p.m. when your study group isn't, and because you write the answers, the knowledge is yours.
3. The drafting workflow (with disclosure)
This is the workflow most likely to cross a line, so the integrity steps matter as much as the drafting steps.
- Do the research and write a rough outline yourself first.
- If your instructor permits AI assistance, you may use it to expand a section you're stuck on, but keep the AI's output in a separate document from your draft.
- Rewrite the section in your own voice, from your own outline. Do not paste and lightly edit.
- Keep every version: your outline, the AI output, your draft, your final. This version history is your evidence of authorship.
- If the assignment asks for a disclosure of AI use, give one, briefly and honestly.
Refdesk's guidance for students in October 2026 makes the same point: keep drafts and notes that show your own work. If a question ever arises about how an assignment was produced, a paper trail of your thinking is worth more than any AI detector's verdict.

Protecting yourself: three habits
Ask before the deadline, not after. "Can I use AI for the outlining stage of this assignment?" takes thirty seconds and eliminates all ambiguity. Asking after a flag lands looks like damage control.
Never feed AI your private or classmates' work. Don't paste unpublished research data, a classmate's draft, or personal information into a public chatbot. Check the tool's settings for whether your conversations are kept or used for training, and if your school provides an approved tool, use it.
Build the skills employers actually want. The same survey data points at the workplace payoff: employers increasingly value people who can evaluate AI output for quality and reliability, understand bias and privacy concerns, and communicate findings clearly. Students who use AI as a tutor, checking, questioning, correcting, are practising exactly those skills. Students who use it as a ghostwriter are practising none of them. For how those skills connect to hiring, see Canada Wants 250,000 New AI Jobs.

Sources
- Benefits and Pensions Monitor, Students adopted AI faster than their schools could teach them how to use it: survey (KPMG Canada, Sep 2026)
- Refdesk, National Council on Artificial Intelligence (Oct 2, 2026): workers, small businesses, privacy guide
- The Murray Sentinel (Stacker), The end of homework? Teachers grapple with cheating in the age of AI
Quick answers
Frequently asked questions
01
Is using AI to summarize my readings cheating?
Not usually, if the summary is a study aid and you write the actual assignment yourself. The line is crossed when AI-generated text becomes your submission. Confirm with your instructor if you're unsure.
02
Can my school detect AI-written work?
Some institutions use AI-detection tools, but universities themselves are divided on their reliability, several, including the University of Waterloo, have disabled or deprioritized detection in their writing systems, treating results as non-decisive. The stronger protection is a visible work process: drafts, notes, and outlines that show your thinking.
03
Should I disclose AI use in my assignments?
If the assignment or course policy asks for disclosure, yes, briefly and honestly. Even where it isn't required, a short note ("AI used for proofreading only") costs nothing and signals good faith.
04
What if different instructors have different rules?
Follow the stricter reading for each assignment, and ask each instructor directly. Rules genuinely do differ by course and by assignment, "my other professor allows it" is not a defence.
05
Does using AI hurt my learning?
It can. In the KPMG Canada survey, 51 per cent of Canadian students said their critical thinking had deteriorated since they started using generative AI. The pattern is consistent: students who use AI to replace thinking lose ground; students who use it to practise thinking gain ground.


