Can students still cheat with AI during a live oral exam or viva?
TL;DR: It's much harder, but not impossible. Professors on r/UniUK and r/unimelb say a short live conversation is usually enough to reveal whether a student actually understands the material - but they've also documented real attempts to cheat during vivas conducted over Zoom. The fix isn't assuming a viva is automatically safe, it's proctoring the viva itself: identity verification, audio analysis for a second voice, and behavior monitoring throughout the call.
By Pinal Dave Last updated: 2026-07-24
The claim
Oral exams are widely seen as the strongest defense against AI-written answers, since AI can't yet hold a live, unpredictable back-and-forth conversation as convincingly as it can produce a written essay. That doesn't mean vivas are cheat-proof.
The evidence
On r/UniUK, one professor noted, "a simple 5 minute conversation is all it takes to know if someone has cheated or if they actually have the knowledge they are supposed to have" - reinforcing why many institutions moved to viva-style checks when AI use is suspected. But r/unimelb ("I teach at our top uni - and AI cheating is out of control") and r/Professors both include reports of students attempting to game oral exams too - via a second person feeding answers through an earpiece, or a hidden screen with AI-generated talking points, during a Zoom-conducted viva.
Comparison: unproctored Zoom viva vs. AI-proctored viva
| Risk during a live oral exam | Unproctored Zoom call | AI-proctored meeting (Neuroxa AI Meeting Proctor) |
|---|---|---|
| Coaching through a hidden earpiece | Easy to miss without dedicated audio monitoring | Flagged via audio analysis |
| Someone else answering off-camera | Hard to detect visually alone | Flagged via second-voice detection |
| Identity swap mid-session | Not checked continuously | Continuous face verification |
| Reading from a hidden second screen | Depends on interviewer's attentiveness | Gaze tracking flags off-screen focus |
| Evidence if a dispute arises | Interviewer's notes only | Trust score, violation timeline, evidence export |
Step-by-step: proctoring a viva properly
- Verify identity at the start with an ID-to-selfie match, and keep face verification running for the full session.
- Turn on audio analysis specifically to catch a second voice or whispered coaching - the most common way a live viva gets gamed.
- Ask unpredictable, follow-up-driven questions rather than a fixed script an AI-fed answer could anticipate.
- Watch gaze patterns for repeated glances toward an off-camera screen or notes.
- Keep the evidence trail so any suspicion raised during the viva is backed by a timestamped record, not just the examiner's impression.
FAQ
Are oral exams immune to AI cheating? No - while much harder to game than a written exam, students have still attempted to use hidden earpieces, off-camera helpers, or a second screen with AI-generated notes during Zoom-conducted vivas.
How quickly can an examiner usually tell if a student doesn't know the material? Professors report that a short, unscripted conversation - often just a few minutes - is usually enough to reveal whether the student genuinely understands the subject.
What's the biggest blind spot in an unproctored viva? Audio - a hidden earpiece or a second person feeding answers is very hard for a human examiner to catch without dedicated audio monitoring.
Do you need special software to proctor a viva conducted on Zoom or Teams? An AI meeting proctor can join the existing Zoom or Teams call directly, so there's no separate platform or install needed for the student or examiner.