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HR tech and recruiting

Sample HR AI Governance Risk Snapshot

AI is close to hiring, screening, ranking, matching, interview summaries, or workforce recommendations.

Example findings

  • Public AI feature language exists, but human oversight is not clearly documented.
  • No obvious candidate-facing explanation of AI involvement was found.
  • Vendor/model inventory and review cadence would likely be requested by enterprise buyers.
  • Policy evidence should explain data inputs, retention, fairness review, and escalation paths.

Recommended fixes

  • Classify each AI-assisted hiring workflow by decision impact.
  • Name a human owner for candidate-impacting AI systems.
  • Create reusable customer answers for bias, oversight, and model/vendor review.
  • Add a plain-language AI use statement to trust or privacy materials.

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