{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-for-recruiting",
  "headline": "AI for Recruiting: Resume Screening, Talent Matching, and Fairness in Hiring",
  "description": "AI is reshaping hiring — screening thousands of resumes in seconds, matching candidates to jobs based on skills rather than keywords, and (ideally) reducing human bias. But the fairness challenge is profound: AI trained on historical hiring data can amplify discrimination through seemingly neutral features. Getting AI recruiting right is not just an engineering problem — it's a civil rights issue.",
  "dateCreated": "2026-05-24T02:49:13.527Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions",
      "sameAs": "https://arxiv.org/abs/2405.19699"
    },
    {
      "@type": "CreativeWork",
      "name": "Role of artificial intelligence in employee recruitment: a systematic literature review",
      "sameAs": "https://link.springer.com/article/10.1007/s44282-025-00246-w"
    }
  ]
}