Candidates in the Loop vs. Candidates in the Dark

Every recruiting technology investment makes a fundamental choice: Will candidates participate in their own evaluation, or will algorithms process them in darkness?

The recruiting industry has spent a decade perfecting post-apply scoring systems—AI that automatically evaluates, ranks, and rejects candidates after submission without their knowledge or participation. The promise? Recruiter efficiency through automated screening.

The reality? Legal liability, damaged employer brand, and missed talent.

The Bot Problem Doesn’t Justify Treating Everyone Like Bots

Here’s the justification we hear constantly: “We’re drowning in fake applications and bot submissions. We need automated screening to handle the volume.”

This is real. AI-generated applications and bot spam are overwhelming ATSs. But here’s the critical error: responding to fake applications by treating all candidates as suspects requiring algorithmic surveillance.

Full Story on Match2 Blog

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