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Impact of Imputation Strategies on Fairness in Machine Learning
16 references·2 citing·28 second hop
Impact of Imputation Strategies on Fairness in Machine Learning (2022)Impact of Imputation Strategies on Fairne…Fairness in Machine Learning: A Survey (2023)Fairness in Machine Learning:…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …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…Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment (2015)Racial Discrimination in the …Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessDiscrimination-aware data mining (2008)Discrimination-aware data min…Towards a Better Understanding of Evaluating Trustworthiness in AI Systems (2025)Towards a Better Understandin…Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making (2024)Automated Data Cleaning can H…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)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)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)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Towards a standard for identifying and managing bias in artificial intelligence (2022)Bias and Fairness in Large Language Models: A Survey (2024)The Economics of Discrimination. (1972)The Mark of a Criminal Record (2003)Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2016)Conceptualizing color-evasiveness: using dis/ability critical race theory to expand a color-blind racial ideology in education and society (2016)Alternative Work Arrangements: Two Images of the New World of Work (2017)Counterfactual Fairness (2017)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Fairness definitions explained (2018)Machine behaviour (2019)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)
this work references cited by second hop

References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 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
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
  • 2015Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment999 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
  • 2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes707 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2008Discrimination-aware data mining676 cited

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2023
Fairness in Machine Learning: A Survey
645 cited

Cited by

  • 2024Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making23 cited
  • 2025Towards a Better Understanding of Evaluating Trustworthiness in AI Systems23 cited