What's the difference between AI interview scoring and AI interview proctoring?
TL;DR: AI interview scoring evaluates the quality of a candidate's answers — communication, technical accuracy, competency fit. AI interview proctoring verifies the integrity of the interview itself — identity, environment, and behavior. A candidate can score well on a scoring tool while still failing a proctoring trust check, because scoring assumes the answers are genuinely the candidate's own.
By Pinal Dave | Last updated: 2026-08-05
The claim
These two AI categories get bundled together because both apply AI analysis to a video interview. They answer completely different questions: "was the answer good?" versus "was the answer real?"
The evidence
| Capability | AI interview scoring | AI interview proctoring |
|---|---|---|
| Evaluates answer quality/competency fit | Yes | No |
| Verifies candidate identity | No | Yes |
| Detects coached or AI-generated answers | No | Yes |
| Flags deepfake or virtual-camera video | No | Yes |
| Produces a hiring recommendation | Often, yes | No — produces a trust score, not a hiring verdict |
| Assumes the candidate is genuinely present and unaided | Yes (unverified assumption) | Verifies this assumption |
This distinction matters because 61% of candidates flagged for AI-cheating behavior in Fabric's dataset scored above the passing threshold — meaning a scoring-only pipeline would have advanced them. Scoring tools have no mechanism to catch that; they were never built to.
Step-by-step: using scoring and proctoring together
- Run your existing AI (or human) interview scoring process unchanged — proctoring doesn't replace evaluation.
- Add AI Meeting Proctor to the same interview for identity and integrity verification.
- If the trust report flags coaching or a second voice, weight the scoring output accordingly — a high score behind a low trust score is a signal to re-interview, not to advance automatically.
- Keep both the score and the trust report in the candidate record for a defensible hiring decision.
FAQ
Does a good trust score mean the candidate is a good hire? No — trust score reflects interview integrity only; competency and fit are still separate evaluations.
Can proctoring flag a candidate that a scoring tool rated highly? Yes, and that combination — high score, low trust — is exactly the scenario Fabric's 61% statistic describes.
Does HireVue's AI scoring include proctoring? See Does HireVue's AI scoring replace dedicated interview proctoring? for a direct comparison.
Related: What does an AI interview trust report show a hiring manager?