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Mitigating bias in algorithmic hiring
5 references·16 citing·47 second hop
Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmic hiringAlgorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactUniform Guidelines on Employee Selection Procedures (2007)Uniform Guidelines on Employe…Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. (1963)Toward an adequate taxonomy o…Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)Should ChatGPT be biased? 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Opportun…Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Ethics of AI-Enabled Recruiti…Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence (2022)Ethical Perceptions of AI in …The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers (2021)The future of artificial inte…Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Image Representations Learned…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…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…Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics (2020)Biased Programmers? Or Biased…What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring? (2019)What Does It Mean to ‘Solve’ …Fairness through awareness (2012)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Personality: A Psychological Interpretation (1938)Personality and Motivation Structure and Measurement (1958)The happy personality: A meta-analysis of 137 personality traits and subjective well-being. (1998)Personality and leadership: A qualitative and quantitative review. (2002)A personality trait-based interactionist model of job performance. (2003)Equality of Opportunity in Supervised Learning (2016)Fairness definitions explained (2018)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Machine behaviour (2019)CRITICAL QUESTIONS FOR BIG DATA (2012)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Survey on Bias and Fairness in Machine Learning (2021)An Overview of Artificial Intelligence Ethics (2022)Trustworthy AI: From Principles to Practices (2022)Considerations for addressing bias in artificial intelligence for health equity (2023)THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON TURNOVER, PRODUCTIVITY, AND CORPORATE FINANCIAL PERFORMANCE. (1995)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Algorithmic management in a work context (2021)Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence (2022)Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature (2022)The Measurement of Observer Agreement for Categorical Data (1977)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Corporate Digital Responsibility in Service Firms and Their Ecosystems (2022)AI generates covertly racist decisions about people based on their dialect (2024)Intrinsic Motivation and Self-Determination in Human Behavior (1985)The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior (2000)The job demands-resources model of burnout. (2001)Creation of the algorithmic management questionnaire: A six‐phase scale development process (2023)Human-centred AI in industry 5.0: a systematic review (2024)Self-Determination Theory and Workplace Outcomes: A Conceptual Review and Future Research Directions (2024)Theory Construction in Qualitative Research (2012)Model Cards for Model Reporting (2019)The pursuit of quality in grounded theory (2020)A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring (2024)The impact of artificial intelligence on employment: the role of virtual agglomeration (2024)The Role of Artificial Intelligence in the Study of the Psychology of Religion (2024)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Towards a standard for identifying and managing bias in artificial intelligence (2022)Humans inherit artificial intelligence biases (2023)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)
this work references cited by second hop

References

  • 2014Big Data's Disparate Impact3,046 cited
  • 1963Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings.2,485 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2007Uniform Guidelines on Employee Selection Procedures389 cited

Cited by

  • 2023Fairness in Machine Learning: A Survey645 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2020Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development509 cited
  • 2023Ethics and discrimination in artificial intelligence-enabled recruitment practices447 cited
  • 2022Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda445 cited
  • 2022Understanding and shaping the future of work with self-determination theory429 cited
  • 2021The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers336 cited
  • 2022Power to the People? Opportunities and Challenges for Participatory AI330 cited
  • 2023Inherent Tradeoffs in the Fair Determination of Risk Scores

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309 cited
  • 2023Should ChatGPT be biased? Challenges and risks of bias in large language models282 cited
  • 2022The Fallacy of AI Functionality251 cited
  • 2022Systemic Discrimination Among Large U.S. Employers212 cited
  • 2019What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?197 cited
  • 2020Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics175 cited
  • 2022Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence163 cited
  • 2021Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases159 cited