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A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning
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A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning (2024)A Comparison of Bias Mitigation Technique…Fairness in Machine Learning: A Survey (2023)Fairness in Machine Learning:…Algorithmic Bias in Education (2021)Algorithmic Bias in EducationA Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…Fairness and Abstraction in Sociotechnical Systems (2019)Fairness and Abstraction in S…Algorithms of Oppression (2018)Algorithms of OppressionFairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017)Fairer machine learning in th…Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Fair, Transparent, and Accoun…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Bias in computer systems (1996)Bias in computer systemsThe Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory (1984)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Improving Fairness in Machine Learning Systems (2019)Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other (1984)Science in action : how to follow scientists and engineers through society (1987)Science in Action: How to Follow Scientists and Engineers through Society (1988)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)On the Opportunities and Risks of Foundation Models (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness definitions explained (2018)Machine behaviour (2019)Algorithms at Work: The New Contested Terrain of Control (2019)When data is capital: Datafication, accumulation, and extraction (2019)What Do Platforms Do? Understanding the Gig Economy (2020)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2018Algorithms of Oppression2,709 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 1996Bias in computer systems1,203 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2021Algorithmic Bias in Education988 cited
  • 2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes707 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2023Fairness in Machine Learning: A Survey645 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2017Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data

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