The State of AI Bias in Talent Acquisition

This new report from Warden AI provides a rare, data-backed look at how algorithmic bias is playing out in hiring, and how AI systems compare to human decision-making. Based on 150+ AI audits and over 1 million test samples, The State of AI Bias in Talent Acquisition highlights where AI is outperforming humans on fairness and where risks still remain.

The report includes real vendor transparency stats, legal context from the Mobley vs. Workday case, and commentary from industry leaders on why responsible AI matters more than ever.

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This new report from Warden AI provides a rare, data-backed look at how algorithmic bias is playing out in hiring, and how AI systems compare to human decision-making. Based on 150+ AI audits and over 1 million test samples, The State of AI Bias in Talent Acquisition highlights where AI is outperforming humans on fairness and where risks still remain.

Key findings from the report include:

  • 75% of HR leaders say bias is a top concern when adopting AI
  • AI can be up to 45% more fair than humans for women and racial minority candidates
  • But 15% of systems still fail fairness benchmarks for one or more demographic group

The report includes real vendor transparency stats, legal context from the Mobley vs. Workday case, and commentary from industry leaders on why responsible AI matters more than ever.

Download here

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