bias control strategy
While there is a potential risk of bias in AI assessments, Equip AI Interviews ensure fairness through the following multi-layered mechanism:
Built-in system safeguards
- Interpretive assessment:: AI provides detailed justification for each marking point, e.g. "This answer scores 85 because of the complete inclusion of the technical rationale (30 points), the practical examples (30 points) and the innovative nature of the solution (25 points)."
- Manual review channel: Recruiters can manually modify scores at any time, and the system will record correction data for iterative model optimization
Best Practice Recommendations
- Setting up a multi-person review mechanism for key positions (e.g., 3 people independently scoring to take the average)
- Periodic sampling of the rate of difference between AI scores and person scores
- Specific performance indicators for subjective dimensions such as "cultural appropriateness" are clearly defined in the assessment criteria.
Supplementary Programs
It is recommended to incorporate the "blind review model" provided by the platform, which hides sensitive information such as the gender and age of the candidate and assesses only the quality of the answer itself.
This answer comes from the articleEquip AI Interviews: automate candidate interview screeningThe
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