Worksheets · Hiring & Team
AI Bias Audit: Candidate Screening
Identify & reduce bias in AI screening
Overview
This worksheet provides a structured approach to evaluate the fairness of your AI screening tools. It guides you through analyzing data inputs, reviewing algorithm outputs, and identifying potential sources of bias, enabling actionable steps for remediation.
Purpose
Use this to systematically assess and document bias risks within your AI-driven candidate screening, ensuring equitable opportunities.
Why it matters
Proactive bias audits prevent discriminatory outcomes, protect your brand reputation, and ensure legal compliance, fostering a diverse workforce.
Unlock the full playbook
The step-by-step instructions, AI companion prompt, worked example, common mistakes and downloadable files are available to members.
When to use it
After implementing an AI screening tool or when reviewing its performance.
Tags
- ai-bias-audit
- candidate-screening
- diversity-hiring
- hr-analytics
- workforce-equity
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