ViewinterHR Detects Cheating: A Journalist's Experience Report

A journalist tested ViewinterHR and received a C grade. The experience revealed how the system detects cheating attempts and evaluates soft skills and behavioral competencies.

Share
ViewinterHR Detects Cheating: A Journalist's Experience Report
Photo by Agence Olloweb / Unsplash

Source: Hankyung Business (한경비즈니스) — I attempted screen capture and exceeded the time limit. Here’s the grade the AI interviewer gave me: ‘C’ Original in Korean

Hankyung Business published a firsthand account of testing Genesislab’s AI interview solution ViewinterHR. The journalist, who took the test unprepared, received a grade of C.

The interview consisted of one personal introduction question and six scenarios structured around situation, behavior, and result, totaling 25 questions. The experience included a moment where ViewinterHR detected and flagged a cheating attempt when the journalist tried to take a screenshot, causing the interview to pause.

Evaluation criteria are organized around two dimensions: soft skills such as composure, logical reasoning, and confidence, and behavioral event interview (BEI) competencies such as digital thinking and leadership. Genesislab explains that the interview questions and evaluation criteria algorithms vary by organization. While background and clothing are not evaluation criteria, the account noted that such visual elements can still make an impression when hiring managers review the video.

The reporting also highlighted concerns about verifying the trustworthiness and fairness of AI hiring. Experts view AI not as a tool to replace human judgment, but as a complement to human decision-making.

Read more

단일 LLM의 한계를 넘어서: Multi-Agent System은 왜 필요한가

단일 LLM의 한계를 넘어서: Multi-Agent System은 왜 필요한가

단일 LLM으로 복잡한 비즈니스 문제를 해결하는 접근은 현실에서 쉽게 한계에 부딪힌다. 이 글에서는 단일 프롬프트부터 멀티 에이전트 시스템에 이르기까지 AI 아키텍처의 발전 단계를 분석하고, 각 구조가 왜 실패하거나 부족했는지 그 이유를 짚는다. 그리고 그 흐름 속에서 도출되는 멀티 에이전트 스케일링 법칙이 B2B 플랫폼 설계에 어떤 시사점을 주는지 살펴본다.