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Algorithmic hiring tools increase racial bias, new paper finds

By PulseAugur Editorial · [1 sources] ·

A new paper from Stanford University's HAI reveals that algorithmic hiring tools can exacerbate racial bias and lead to systemic rejection of candidates. The research provides a rare glimpse into the inner workings of these 'black box' systems, demonstrating their negative impact on job seekers across various applications. AI

IMPACT Algorithmic hiring tools may perpetuate and amplify existing societal biases, necessitating careful auditing and regulation.

RANK_REASON The cluster contains an academic paper detailing research findings. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Algorithmic hiring tools increase racial bias, new paper finds

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The cluster contains an academic paper detailing research findings. [lever_c_demoted from research: ic=1 ai=0.7]
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91 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    ‘Our new paper offers a rare look inside the “black box” of algorithmic hiring, showing that these tools increase racial bias and shut the same people out of jo

    ‘Our new paper offers a rare look inside the “black box” of algorithmic hiring, showing that these tools increase racial bias and shut the same people out of jobs everywhere they apply’. https:// hai.stanford.edu/news/ai-hirin g-tools-can-yield-racial-bias-and-systemic-rejection …

    LINKS hai.stanford.edu/…/ai-hiring-tools-can-yi… hai.stanford.edu/…/ai-hirin

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