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Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring
16 references·5 citing·41 second hop
Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring (2022)Is AI recruiting (un)ethical? A human rig…Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Ethics of AI-Enabled Recruiti…When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions (2020)When eliminating bias isn’t f…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmi…Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)Discriminated by an algorithm…Artificial Intelligence in Human Resources Management: Challenges and a Path Forward (2019)Artificial Intelligence in Hu…Algorithms at Work: The New Contested Terrain of Control (2019)Algorithms at Work: The New C…AI-enabled recruiting: What is it and how should a manager use it? (2019)AI-enabled recruiting: What i…Working and organizing in the age of the learning algorithm (2018)Working and organizing in the…Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Understanding perception of a…AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…Impact of business analytics and enterprise systems on managerial accounting (2017)Impact of business analytics …The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…The Black Box Society (2015)The Black Box SocietyExploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM (2024)Exploring Gender Bias and Alg…Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness (2023)Seeming Ethical Makes You Att…Gender equity in hiring: examining the effectiveness of a personality-based algorithm (2023)Gender equity in hiring: exam…Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment (2023)Fairness-Aware Multimodal Lea…Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures (2023)Applicants’ Fairness Percepti…Truth and Method (1960)Why Most Published Research Findings Are False (2005)Stanford Encyclopedia of Philosophy (2015)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Principles alone cannot guarantee ethical AI (2019)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Experience and Education. (1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The Platform Society (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Motivation through the design of work: test of a theory (1976)Basics of qualitative research (1990)Trust in Automation: Designing for Appropriate Reliance (2004)Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII) (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Algorithmic Bias in Education (2021)Culture in Action: Symbols and Strategies (1986)Situated Learning: Legitimate Peripheral Participation. (1994)The future of employment: How susceptible are jobs to computerisation? (2016)Humans and Technology: Forms of Conjoined Agency in Organizations (2020)Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control (2021)To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis (2022)The Theory of Social and Economic Organization. (1948)Structural Holes (1992)A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice (2023)When and How Artificial Intelligence Augments Employee Creativity (2023)Experimental evidence of massive-scale emotional contagion through social networks (2014)The global landscape of AI ethics guidelines (2019)Emerging challenges in AI and the need for AI ethics education (2020)Trustworthy Artificial Intelligence: A Review (2022)On the Opportunities and Risks of Foundation Models (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Rulers of the world, unite! The challenges and opportunities of artificial intelligence (2019)Ethical principles for artificial intelligence in education (2022)Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)Bridging the Gap Between Ethics and Practice (2020)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)When data is capital: Datafication, accumulation, and extraction (2019)What Do Platforms Do? Understanding the Gig Economy (2020)
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References

  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2015The Black Box Society3,781 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2019Algorithms at Work: The New Contested Terrain of Control2,709 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2019Artificial Intelligence in Human Resources Management: Challenges and a Path Forward1,585 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2018Working and organizing in the age of the learning algorithm924 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2017Impact of business analytics and enterprise systems on managerial accounting560 cited
  • 2020When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions548 cited
  • 2020Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

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509 cited
  • 2022Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda445 cited
  • 2019AI-enabled recruiting: What is it and how should a manager use it?400 cited
  • Cited by

    • 2023Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures105 cited
    • 2023Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness44 cited
    • 2023Gender equity in hiring: examining the effectiveness of a personality-based algorithm23 cited
    • 2023Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment22 cited
    • 2024Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM18 cited