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Machine learning fairness notions: Bridging the gap with real-world applications
16 references·8 citing·26 second hop
Machine learning fairness notions: Bridging the gap with real-world applications (2021)Machine learning fairness notions: Bridgi…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …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…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: …Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness through awareness (2012)Fairness through awarenessStructural Equations with Latent Variables. (1991)Structural Equations with Lat…Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Mapping the Margins: Intersec…Structural equations with latent variables (1989)Structural equations with lat…Artificial intelligence governance: Understanding how public organizations implement it (2025)Artificial intelligence gover…Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation. (2024)Whither bias goes, I will go:…When Causality Meets Fairness: A Survey (2023)When Causality Meets Fairness…Utilizing data driven methods to identify gender bias in LinkedIn profiles (2023)Utilizing data driven methods…Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms (2023)Fairness of Academic Performa…Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective (2023)Enhancing AI fairness through…Accurate Fairness: Improving Individual Fairness without Trading Accuracy (2023)Accurate Fairness: Improving …From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making (2022)From fair predictions to just…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: a revolution that will transform how we live, work, and think (2013)Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject (2018)Algorithms at Work: The New Contested Terrain of Control (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Dilemmas in a general theory of planning (1973)Fairness and Abstraction in Sociotechnical Systems (2019)What Do Platforms Do? Understanding the Gig Economy (2020)Semantics derived automatically from language corpora contain human-like biases (2017)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)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)lavaan : An R Package for Structural Equation Modeling (2012)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Critical Race Methodology: Counter-Storytelling as an Analytical Framework for Education Research (2002)The Complexity of Intersectionality (2005)Whose culture has capital? A critical race theory discussion of community cultural wealth (2005)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)The ethics of algorithms: Mapping the debate (2016)
this work references cited by second hop

References

  • 1991Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color29,736 cited
  • 1991Structural Equations with Latent Variables.17,443 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 1989Structural equations with latent variables2,150 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor

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1,167 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • Cited by

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    • 2022From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making30 cited
    • 2024Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.27 cited
    • 2023Utilizing data driven methods to identify gender bias in LinkedIn profiles25 cited
    • 2023Accurate Fairness: Improving Individual Fairness without Trading Accuracy22 cited
    • 2023Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms14 cited
    • 2023When Causality Meets Fairness: A Survey14 cited