AI Interviewers Aren't Swayed by Day-to-Day Condition
Director Yuk Keun-sik of Genesislab discusses how AI interviewing addresses fairness concerns, overcomes human interviewer limitations, provides consistent evaluation, and offers practical guidance for job candidates.
Source: Byline Network (바이라인네트워크) — “AI interviewers are more objective, unaffected by daily condition” Original in Korean
In the “Modern Hiring” series on Byline Network, Yuk Keun-sik, Director of HR Business at Genesislab, discussed how AI interviewing handles fairness and trust, and how job candidates should approach the process.
Yuk first addressed fairness concerns surrounding AI interviews. While failing an AI interview may feel unfamiliar, the presence of AI actually broadens the range of candidates evaluated. As time and cost decrease, the cutoff score for initial screening drops, giving more candidates the opportunity to demonstrate their capabilities.
Yuk pointed to limitations of in-person interviewers. Most interviewers transition from their regular work to conduct interviews without systematic evaluation training, forced to reach conclusions in short timeframes. Their judgments often fluctuate based on daily mood or first impressions. AI reduces this variance and applies consistent evaluation standards, Yuk emphasized as the key advantage.
He also highlighted the documentation problem. Human interviews struggle to preserve the complete evaluation process as data, and organizations with high interviewer turnover find it difficult to accumulate assessment expertise. AI solutions create efficiency gains across time, cost, and data analysis at this critical juncture.
On job seekers’ anxieties, Yuk acknowledged that the inability to read room atmosphere can increase nervousness. To ease this, Genesislab is experimenting with disclosing portions of its AI evaluation logic to candidates, placing the initiative within the broader context of AI trustworthiness currently under discussion.
Finally, Yuk stated that separate AI interview preparation has limited value. AI interviews function not as replacements for human interviewers but as tools helping them focus on substantive judgment. Candidates benefit more from clarifying how their experience and capabilities align with the company’s talent profile than from interview-specific coaching.
