AI HR Agent Bias Prevention

AI can perpetuate bias if not designed and used carefully. Here’s how to prevent it.

Structured criteria only

Define job-relevant criteria (skills, experience, qualifications). Don’t let the model screen on demographics, names, or schools in a way that proxies for them. Avoid free-text “culture fit” as a screening signal.

Explainability and audits

Use tools that explain why a candidate was scored or ranked. Audit outcomes for adverse impact (e.g. by demographic). Fix prompts and criteria when you see skew.

Human oversight

Humans should make final hiring decisions. Use AI to narrow and standardize; use people to assess fit, motivation, and context the model can’t see.

Vendor and compliance

Choose vendors that document bias testing and support audits. Align with legal and HR on use and retention.

For screening automation, AI Resume Screening Automation. For the niche, AI HR Agent.