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Bias in AI-driven HRM systems: Investigating discrimination risks embedded in AI recruitment tools and HR analytics
16 references·1 citing·48 second hop
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References

  • 2023Ethics and discrimination in artificial intelligence-enabled recruitment practices447 cited
  • 2021Algorithmic bias in data-driven innovation in the age of AI438 cited
  • 2019INTERNATIONAL HUMAN RIGHTS LAW AS A FRAMEWORK FOR ALGORITHMIC ACCOUNTABILITY207 cited
  • 2023Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities169 cited
  • 2022Disability, fairness, and algorithmic bias in AI recruitment148 cited
  • 2024Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey117 cited
  • 2023Algorithmic inclusion: Shaping the predictive algorithms of artificial intelligence in hiring106 cited
  • 2024From Recruitment to Retention: AI Tools for Human Resource Decision-Making77 cited
  • 2025Standards, frameworks, and legislation for artificial intelligence (AI) transparency74 cited
  • 2022Using sensitive data to prevent discrimination by artificial intelligence: Does the GDPR need a new exception?73 cited
  • 2024Architecting the future: exploring the synergy of AI-driven sustainable HRM, conscientiousness, and employee engagement70 cited
  • 2023The dark side of AI-enabled HRM on employees based on AI algorithmic features66 cited
  • 2023Mitigating the adverse effects of AI with the European Union's artificial intelligence act: Hype or hope?57 cited
  • 2025Artificial intelligence auditability and auditor readiness for auditing artificial intelligence systems

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55 cited
  • 2024Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective45 cited
  • 2022Considering the value of postsecondary culinary education1 cited
  • Cited by

    • 2026Artificial Intelligence and Human Rights0 cited