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AI-Proctoring: honesty is not optional

Fair assessments matter. Our continuously evolving AI proctoring detects unfair practices, helping you identify the most capable - and honest - talent.

Built-in AI Integrity Engine for Zero-Cheat Hiring

01

UI and UX Checks

The system strongly discourages changing tabs or minimizing the screen. Each occurrence of this is recorded. If a candidate still continues to switch the tabs around, they are marked as “suspected”

02

Voice Biometrics

During the interview, we use a technique called diarization to understand if we are hearing multiple users or if the area is noisy etc. Based on this signal a candidate can be flagged.

03

Video Monitoring

For coding assessments we are monitoring eye movement tracking, face outside the screen, IP checks, multiple monitors, and similar other checks to see if the candidate is getting assistance from other sources.

04

Plagiarism Checks

We monitor if candidates are spewing verbatim from a foundation model. We also rate “generic” answers low which is one of the common patterns with LLM based responses. Truly lived experience by a candidate requires more names, anecdotes and real data. Such answers are marked higher by the system.

05

Document Verification

You can also request candidates to take a picture with their ID during the interview. This is an optional feature for customers who need early ID verification.

06

Human-in-the-loop sampling

We have a high sampling rate to constantly improve our models and accuracy for cheating models. Every interview that gets flagged is used to improve the models.

FAQs

Babblebots AI-Interviewer, can in a single 15–30 minute video AI interview, evaluate hard skills, soft skills like language, and confidence to give you a curated shortlist and stack ranked candidates.
The final decision is always taken by humans. Forward thinking and innovative companies are using this as a way to shortlist and hire talent, at the speed of AI.

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