presentation on Bias in resume screening

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presentation on Bias in resume screening

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Why Fairness in Resume Screening Matters

Are hiring algorithms truly fair, or just statistically biased?

The Fairness Problem

• Models can learn existing societal bias
• Certain groups receive fewer positive outcomes
• Bias persists even without demographic data
• Resume language can act as a proxy for identity
• Leads to unfair hiring decisions

Automated Resume Screening (ARS)

• Filters large applicant pools automatically
• Used before human hiring decisions
• Relies on machine learning models
• Trained on historical hiring data
• Focuses on skills, experience, and keywords

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TIMELINE

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2,483

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Resumes across 24 job categories

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There's no creativity without fun,No innovation without creativity,No success without innovation.Are you ready to do awesome things?

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thanks!