Screening Bias Transfer

Screening Bias Transfer is the principle that when an agency moves candidate screening from human recruiters to an AI-first ATS, the bias does not disappear. It relocates: from the recruiter's judgment to the model's training data, the scoring rubric, and the agency's own configuration choices. For agencies running recruitment on retainer, this matters because the client still owns the legal and reputational exposure, and the agency now owns the audit trail. A concrete example sits in the roster: GoHire screens candidates at scale across 15+ job boards, while Spark Hire layers AI resume scoring on top of one-way video interviews. Each adds a scoring layer that a client can later question. The practical discipline is to document what the model weighs, keep a human review checkpoint on any rejection above a defined threshold, and treat the screening config as a client-facing deliverable rather than an internal setting.