Decision-making systems for human-machine collaboration
The system adopts a layered review design: after the AI completes the initial scoring, HR can mark the content to be reviewed through the "Dispute Answer Marking" function, and the senior recruiter has the authority to modify the final score. The use case of Amazon logistics center shows that for soft skill dimensions such as "safety awareness", the manual adjustment rate is about 7-9%; while for hard skill dimensions such as "equipment operation process", the consistency between AI judgment and expert assessment is as high as 94%. The platform also provides a deviation detection dashboard, automatically marking scoring distribution anomalies (e.g., an interviewer batch modifies scores exceeding 151 TP3T) to ensure the compliance of the recruitment process.
This answer comes from the articleEquip AI Interviews: automate candidate interview screeningThe
