Two Dimensions of Interview Fairness in ViewInterHR

Asia Economy's AI series profiles Genesislab's ViewInterHR, highlighting soft-skills and BEI evaluation engines, AI human interviewer, and 100+ enterprise deployments.

Share
Two Dimensions of Interview Fairness in ViewInterHR

Source: Asia Economy (아시아경제) — AI Revolution (56): Ensuring Evaluation Fairness with AI Interviewers…Genesislab Original in Korean

Genesislab was featured in Asia Economy’s 56-part AI series, with detailed coverage of ViewInterHR’s fairness framework, the company’s research direction, and key service offerings.

CEO Lee Young-bok explains that Genesislab pursues domain-specialized AI. The company’s internal AI research lab focuses on core video and voice analysis and generation technologies, holding approximately 60 patents domestically and internationally.

ViewInterHR, the flagship service, delivers interview analysis using algorithms trained on professional interviewer decision-making. The platform employs two complementary engines to ensure fairness: a soft-skills engine evaluating non-verbal behaviors like likability and trustworthiness, and a behavioral event interview (BEI) competency engine analyzing responses across 30+ job-specific behavioral indicators. Both the Ministry of Science and ICT and the TTA’s AI reliability assessments confirmed the system’s suitability.

Version 2.0’s AI human interviewer adjusts facial expressions and movements in response to candidate answers and generates follow-up questions. Lee noted that companies can create customized AI humans based on HR managers or other designated individuals to increase realism. Over 100 organizations and companies, including LG U+, Hyundai Motor, and South Korea’s Army, Navy, and Air Force, currently use ViewInterHR.

The feature also covered DrListen, a mental health self-assessment app, and Juice, an AI video content platform.

Read more

The Craft of Multi-Agent Collaboration Design

The Craft of Multi-Agent Collaboration Design

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.

Multi-Agent 협업 설계의 기술

Multi-Agent 협업 설계의 기술

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.