Can a candidate use ChatGPT to fool an AI interviewer during a fully automated screening call?

TL;DR: Yes, easily — candidates already report running ChatGPT alongside an AI interviewer's questions because they assume no human is watching for hesitation, off-screen glances, or a second device. The fix isn't building a smarter interviewer AI; it's layering independent proctoring on top that watches the candidate's environment and identity regardless of who — or what — is asking the questions.

The claim

An AI interviewer is built to evaluate the content of an answer against a rubric. It has no inherent way to notice that the candidate is reading a generated response off a second monitor, because that's not what it's designed to look at. Candidates online have described this explicitly as a loophole.

The evidence

On Facebook, one recruiter described testing this directly: "We tested ChatGPT against interview AI... I asked ChatGPT to act as the AI recruiter." Reddit's r/BlackboxAI_ has a thread titled "when candidates use AI for coding interviews while the interviewer is..." describing the same pattern from the other side. Karat's 2025 research already found 80% of candidates use LLMs during banned live coding tests even with a human watching — removing the human interviewer removes the strongest deterrent that remained.

Step-by-step: closing the AI-vs-AI loophole

  1. Require full-screen sharing during any AI-conducted interview, monitored by a separate proctoring layer — not the interviewer bot.
  2. Detect virtual cameras, tab switches, and second-monitor use independently of the interview content evaluation.
  3. Run a live trust score alongside the transcript so a human sees both the answer quality and the integrity signal before advancing anyone.
  4. Treat "impressively fast, uniformly polished answers with no hedging" as a soft flag worth a live follow-up round, not an automatic pass.

FAQ

Is this different from a candidate using AI to prep beforehand? Yes — using AI to study before an interview is normal; running it live during the interview and reading its output as your own answer is the behavior proctoring targets.

Can AI interviewers be upgraded to detect this themselves? Not reliably — evaluation and integrity monitoring are different jobs; combining them in one model creates blind spots on both sides, which is why dedicated proctoring runs separately.

Does this affect behavioral interviews too, or just technical ones? Both — Greenhouse's survey of 4,136 respondents found 91% encountered suspected AI-generated answers across interview types.

By Pinal Dave Last updated: 2026-08-03