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Algorithmic equity in the hiring of underrepresented IT job candidates
16 references·16 citing·50 second hopsampled
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(1989)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Algorithms at Work: The New Contested Terrain of Control (2019)Algorithmic Management (2022)Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence (2022)Algorithmic management in the gig economy: A systematic review and research integration (2024)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)
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References

  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2017Meta-analysis of field experiments shows no change in racial discrimination in hiring over time877 cited
  • 2015The influence of technology on the future of human resource management618 cited
  • 2007Research in e-HRM: Review and implications571 cited
  • 2008Stubborn Reliance on Intuition and Subjectivity in Employee Selection496 cited
  • 2003Applicant and Recruiter Reactions to New Technology in Selection: A Critical Review and Agenda for Future Research253 cited
  • 2017Applicant Perspectives During Selection: A Review Addressing “So What?,” “What’s New?,” and “Where to Next?”249 cited
  • 2018A Qualitative Exploration of Perceptions of Algorithmic Fairness238 cited
  • 2018Broken data: Conceptualising data in an emerging world205 cited
  • 2018How Algorithms Discriminate Based on Data They Lack: Challenges, Solutions, and Policy Implications

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197 cited
  • 2017Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification195 cited
  • 2016Battling algorithmic bias133 cited
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