How to spot candidates using AI to cheat in interviews
Oct 5, 2026 · 7 min read
Candidates using ChatGPT in interviews is now a real concern for hiring teams. There is no single reliable sign of it, and a hunch is not evidence. The more dependable approach is to design the interview so that outside help is less useful, and to be open with candidates about what is expected.
How do candidates get outside help in interviews?
Candidates get outside help in a few common ways. Knowing them helps you design around them, not hunt for them. None of these is proof of anything on its own, because some of them look the same as a person simply thinking.
- Reading from a second screen or a notes document while answering.
- Using a chat assistant to generate an answer from the question, either by typing it in or by having it listen.
- Using an interview copilot tool that listens to the call and suggests answers on screen.
- Having another person in the room who passes notes or messages.
- Preparing scripted answers from a memorised list of common questions, with or without AI help.
The last item is not new. Candidates have always prepared for common questions. What has changed is the speed and polish of the material available, so generic answers now sound better than they used to.
Can you reliably tell when a candidate is using an AI copilot?
No sign is reliable enough to act on by itself. Pauses, reading eye movements, very smooth phrasing and generic content can all be caused by nerves, a poor connection, careful preparation or a candidate reading their own legitimate notes. Treating any one of them as proof will sooner or later lead you to accuse an honest person.
A better question is whether the candidate can show real understanding of the answer they gave. That can be tested in the conversation, and it does not require you to guess what is happening on the other side of the screen.
What interview design makes outside help less useful?
Questions that depend on the candidate's own specific experience, and follow-ups that go deeper into what they just said, are hard for outside help to answer well. Generic questions are easy to answer generically. Specific questions need specific knowledge. The table shows techniques and why they work.
| Technique | What to do | Why it helps |
|---|---|---|
| Ask about specifics | After any answer, ask which project, which month, which team and what the candidate personally did | Generated or memorised answers tend to stay general. Real experience has details |
| Ask for their own example | Ask for a situation from the candidate's own work and let them choose it | A suggested answer cannot know their real history |
| Reason aloud | Give a small problem and ask them to talk through how they would approach it | You hear the thinking, and not only a finished answer |
| Change the detail mid-answer | Add a constraint such as less time, a smaller budget or a missing tool, and ask what changes | A prepared answer breaks easily, understanding adapts |
| Ask why | Ask why they chose that option over another one | Reasons are harder to fake than conclusions |
These are good interview practice anyway. They improve the quality of what you learn from every candidate, including those who are using no outside help at all.
What follow-up questions work best?
The best follow-ups are short, specific and based on the candidate's own words. Pick a detail from the answer and ask for more about it. If the candidate says they improved a process, ask what the process was before, what exactly they changed and how they knew it worked.
- What was the hardest part of that, and what did you try first?
- Who else was involved, and what did you do that they did not?
- What would you do differently if you did it again?
- Which part of that was your decision, and which part was someone else's?
- If the situation had gone the other way, what would have been your next step?
Do not use follow-ups as traps. The aim is to understand the candidate's experience, and a candidate who has done the work will usually find these questions easy.
What should you tell candidates up front?
Tell candidates clearly, before the interview, what is allowed. Many problems come from unclear expectations. If you do not want candidates to use notes, a chat assistant or a second person, say so in the invitation. If short notes are fine, say that too. Candidates then know the rules and can follow them.
A short statement is enough. For example: This interview is meant to hear about your own experience and how you think. Please do not use AI tools or other people to prepare answers during the interview. You can use a pen and paper. Also tell candidates how the interview will be recorded and who will see the recording.
What should you not do?
Do not accuse a candidate on a hunch, and do not monitor candidates in ways they have not been told about. Both approaches harm honest candidates and expose your company to complaints. Keep your response proportionate to what you actually know.
- Do not tell a candidate they cheated because an answer sounded polished.
- Do not use covert screen capture, hidden recording or software on the candidate's device without telling them first.
- Do not treat reading eye movement or a pause as evidence.
- Do not reject a candidate on the basis of a suspicion you have not tested with questions.
- Do not apply extra scrutiny to some candidates and not others. Use the same process for everyone.
If you are unsure about an answer, ask another follow-up about the detail. If the candidate can explain it clearly, you have your answer. If they cannot, you have evidence from the interview itself, and a person on your team can decide what to do with it.
What if an answer still seems too polished?
Ask the candidate to explain one part of it in their own words, using a different example. Say it in a neutral way, such as: Can you give me a second example of that from a different project? Candidates who understand their material can usually do this. Record what happened and score the answer on the evidence you heard, not on your suspicion.
It also helps to compare notes with another interviewer who heard the same answer. Two people reading the same transcript with the same scoring guide will often reach a clearer view than one person working from memory.
Where AI Interview Agents fits
In an AI Interview Agents interview, the AI interviewer asks follow-up questions based on what the candidate said, so answers are explored in more depth than a fixed list would allow. Your team can read the transcript of every interview and watch the recording when one is available, which lets you check exactly what was asked and what the candidate answered.
The interview report gives scores with written reasoning tied to what the candidate said. A person on your hiring team makes every hiring decision. The free interview kit generator on the site can help you draft specific follow-up questions for your role.