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[Case Study] Hakuhodo DY ONE adopts ailead, redesigning new graduate recruitment with a Human-AI hybrid evaluation model

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AI Summary (NQ-processed)

株式会社ailead has released a case study of the deployment of its AI conversational data platform, 'ailead,' at Hakuhodo DY ONE. By leveraging AI to evaluate group discussions, the company increased its selection processing capacity by approximately sevenfold and improved evaluation efficiency by six times, establishing a hybrid evaluation system involving both AI and human evaluators.

AI Analysis

Frequently Asked Questions

Q: How does ailead change the recruitment selection process?
A: AI analyzes conversational data to generate evaluation data, significantly increasing processing capacity for large numbers of applicants and reducing HR workload.
Q: Does AI make the final hiring decision?
A: No, AI acts as a source of information providing objective data, and the final hiring decision remains with human interviewers.
Q: What is the most significant result of this case?
A: The selection processing capacity increased by approximately 7 times, and the evaluation workload was reduced to about one-sixth of the original.