How AI is Reshaping Recruitment in an Era of Uncertainty

e4ds News examined AI's role in hiring through Genesislab's HAF seminar, discussing how AI can support recruitment decisions while addressing fairness and bias concerns.

Share
How AI is Reshaping Recruitment in an Era of Uncertainty
Photo by Vitaly Gariev / Unsplash

Source: e4ds News (e4ds뉴스) — In an age of hiring uncertainty, improvement expected through AI adoption Original in Korean

As business environments shift rapidly, companies carefully verify the consistency of their hiring decisions. e4ds News examined the possibilities and challenges of AI-driven hiring, focusing on Genesislab’s second HAF seminar.

Genesislab operates ViewinterHR, an AI recruitment solution, and has developed models that evaluate candidate competencies based on interview video data.

Jo Jin-hee, a researcher at Genesislab, explains that AI can create systems that predict job fit from candidate data. The intent is not to delegate the entire decision-making process to AI, but rather to introduce AI at the prediction stage to check for bias and create room for improvement.

As AI hiring expands, discussions about fairness are accelerating as well. There are also movements toward legal reforms requiring employers to inform candidates about evaluation methods in advance. AI-driven recruitment has entered a stage where it receives institutional scrutiny.

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.