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Ethics and discrimination in artificial intelligence-enabled recruitment practices
6 references·16 citing·53 second hop
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References

  • 2012Theory Construction in Qualitative Research4,317 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2020The pursuit of quality in grounded theory1,215 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2019Role of fairness, accountability, and transparency in algorithmic affordance643 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited

Cited by

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  • 2024The Role of Artificial Intelligence in the Study of the Psychology of Religion69 cited
  • 2024Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation64 cited
  • 2025Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success64 cited
  • 2023Ethical artificial intelligence (AI): confronting bias and discrimination in the library and information industry61 cited
  • 2025Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions

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61 cited
  • 2024Establishing and evaluating trustworthy AI: overview and research challenges59 cited
  • 2025Measuring gender and racial biases in large language models: Intersectional evidence from automated resume evaluation57 cited
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  • 2025Addressing Algorithmic Bias in AI‐Driven HRM Systems: Implications for Strategic HRM Effectiveness42 cited
  • 2024From Bias to Brilliance: The Impact of Artificial Intelligence Usage on Recruitment Biases in China35 cited
  • 2025Artificial intelligence bias auditing – current approaches, challenges and lessons from practice32 cited
  • 2025Bias in AI-driven HRM systems: Investigating discrimination risks embedded in AI recruitment tools and HR analytics32 cited