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Mitigating Cognitive Biases in Developing AI-Assisted Recruitment Systems
16 references·7 citing·47 second hop
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References

  • 1968The Discovery of Grounded Theory; Strategies for Qualitative Research39,440 cited
  • 1998Basics of qualitative research : techniques and procedures for developing grounded theory38,622 cited
  • 1978Theoretical Sensitivity: Advances in the Methodology of Grounded Theory6,075 cited
  • 1997Models of Bounded Rationality4,207 cited
  • 2012Science faculty’s subtle gender biases favor male students3,139 cited
  • 2004Work Groups, Structural Diversity, and Knowledge Sharing in a Global Organization1,780 cited
  • 2019Artificial Intelligence in Human Resources Management: Challenges and a Path Forward1,585 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2018Ethical Implications and Accountability of Algorithms754 cited
  • 2019Rulers of the world, unite! The challenges and opportunities of artificial intelligence718 cited
  • 1984Cognitive biases and their impact on strategic planning451 cited
  • 1985Conjectures on Cognitive Simplification in Acquisition and Divestment Decision Making415 cited
  • 2018Applying artificial intelligence: implications for recruitment379 cited
  • 2003Judgement in Managerial Decision Making368 cited
  • 2011Before you make that big decision...

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348 cited
  • 2008Cocreating Understanding and Value in Distributed Work: How Members of Onsite and Offshore Vendor Teams Give, Make, Demand, and Break Sense1341 cited
  • Cited by

    • 2022Technology Adoption and Human Resource Management Practices: The Use of Artificial Intelligence for Recruitment in Bangladesh58 cited
    • 2024Artificial intelligence in the workplace – challenges, opportunities and HRM framework: a critical review and research agenda for change35 cited
    • 2024Using artificial intelligence for hiring talents in a moderated mechanism33 cited
    • 2025Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management30 cited
    • 2024The consequences of AI training on human decision-making23 cited
    • 2024Impact of AI Virtual Anchors on Traditional News Anchors16 cited
    • 2024Nurturing Sustainable Innovation in Talent Acquisition Leveraging Work-Life Balance and Recognition to Empower Employees1 cited