Altious Link Introduces AI Interview for New Graduate Recruitment
NQ Score
50/100
AI Summary (NQ-processed)
Altious Link is promoting recruitment DX by introducing AI interviews for the first round of new graduate recruitment.
AI analysis data is not yet available.
Frequently Asked Questions
- Q: What is the main purpose of introducing AI interviews at Altious Link?
- A: The main purpose is to promote recruitment DX (Digital Transformation) by standardizing evaluation criteria, visualizing applicant qualifications, improving the quality of interaction with applicants, and enhancing the overall applicant experience.
- Q: What challenges did Altious Link face that led to the adoption of AI interviews?
- A: Challenges included variations in evaluation reports from different interviewers, inconsistencies in applicant information shared with the final interviewer, and the administrative workload on recruitment staff who also managed initial interviews.
- Q: What are the expected benefits of using AI interviews?
- A: Expected benefits include a more unified and fair evaluation axis, improved interview quality through standardized assessments and better information sharing, optimization of the recruitment process by reducing operational burden, and reallocation of staff time to focus more on applicant communication.
- Q: When was the AI interview system implemented and tested?
- A: The AI interview system was gradually introduced and its effectiveness verified during the recruitment activities for the graduating class of 2027 before its full implementation.
- Q: How is the AI interview expected to improve the quality of the final interview?
- A: By providing standardized AI scores and visualized applicant characteristics from the first interview, final interviewers can better understand the candidates beforehand, allowing them to focus on deeper probing of the applicant's thoughts and aspirations within the limited time.
- Q: What is the anticipated reduction in workload due to AI interviews?
- A: A reduction of approximately 95% in the workload for recruitment-related tasks, such as interview operations and scheduling, is anticipated.