AI resume screening can review hundreds of applications in seconds — but must be implemented carefully to avoid bias and legal risk.

How AI Screening Works

• Parses resumes and extracts structured data automatically
• Scores candidates against defined criteria
• Identifies missing must-have qualifications
• Surfaces non-obvious candidates who might be overlooked

Critical Bias Risks

• AI trained on past hires learns historical biases — if past hires were mostly male engineers, it may downrank women
• Proxy discrimination — filtering on features correlated with protected characteristics
• Amazon famously scrapped its AI recruiting tool for this reason

Best Practices

• Audit AI decisions for disparate impact regularly
• Use AI to expand candidate pools, not to make final decisions
• Comply with NYC Local Law 144 and similar AI hiring regulations

Reference:

EEOC hiring compliance guidance

https://www.eeoc.gov/laws/guidance/questions-and-answers-clarify-and-provide-common-interpretation-uniform-guidelines