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Equity and Access in Algorithms, Mechanisms, and Optimization
16 references·3 citing·50 second hopsampled
Equity and Access in Algorithms, Mechanisms, and Optimization (2021)Equity and Access in Algorithms, Mechanis…Measurement and Fairness (2021)Measurement and FairnessFairness, Equality, and Power in Algorithmic Decision-Making (2021)Fairness, Equality, and Power…What's sex got to do with machine learning? (2020)What's sex got to do with mac…Towards a critical race methodology in algorithmic fairness (2020)Towards a critical race metho…Fair classification and social welfare (2020)Fair classification and socia…An Intersectional Definition of Fairness (2020)An Intersectional Definition …Racial categories in machine learning (2019)Racial categories in machine …Disparate Interactions (2019)Disparate InteractionsDelayed Impact of Fair Machine Learning (2019)Delayed Impact of Fair Machin…Balanced Ranking with Diversity Constraints (2019)Balanced Ranking with Diversi…A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity (2019)A Moral Framework for Underst…Fairness in Decision-Making — The Causal Explanation Formula (2018)Fairness in Decision-Making —…Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer (2017)Predict Responsibly: Improvin…Counterfactual Fairness (2017)Counterfactual FairnessRace as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics (2016)Race as a Bundle of Sticks: D…Status and Trends in the Education of Racial and Ethnic Groups (2010)Status and Trends in the Educ…Artificial intelligence and algorithmic bias? Field tests on social network with teens (2024)Artificial intelligence and a…Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework (2024)Algorithmic bias: Social scie…Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Connecting the dots in trustw…Doing Gender (1987)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Measuring individual differences in implicit cognition: The implicit association test. (1998)Skin Color and Colorism: Global Research, Concepts, and Measurement (2017)A Theory of Racialized Organizations (2019)Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2023)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)Fairness through awareness (2012)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern (2023)Policy advice and best practices on bias and fairness in AI (2024)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in credit scoring: Assessment, implementation and profit implications (2021)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Accountable Artificial Intelligence: Holding Algorithms to Account (2020)Closing the AI accountability gap (2020)The Ethics of Artificial Intelligence (2023)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)American Apartheid: Segregation and the Making of the Underclass. (1993)Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed (1998)Sorting Things Out (1999)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Algorithmic Bias in Education (2021)On the Opportunities and Risks of Foundation Models (2021)Equality of Opportunity in Supervised Learning (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)Bias and Fairness in Large Language Models: A Survey (2024)Implications of Extracurricular Activity Participation During Adolescence on Positive Outcomes (2003)The Condition of Education (2005)Digest of Education Statistics (2014)National Healthcare Disparities Report (2014)The Causal Effects of Cultural Relevance (2016)Call to Action: Structural Racism as a Fundamental Driver of Health Disparities: A Presidential Advisory From the American Heart Association (2020)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)50 Years of Test (Un)fairness (2019)Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches (2022)Fairness, AI & recruitment (2024)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)A Survey on Bias and Fairness in Machine Learning (2021)AI Governance in a Complex and Rapidly Changing Regulatory Landscape: A Global Perspective (2024)Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector (2024)Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement (2024)
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References

  • 2010Status and Trends in the Education of Racial and Ethnic Groups1,145 cited
  • 2017Counterfactual Fairness1,096 cited
  • 2016Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics420 cited
  • 2021Measurement and Fairness396 cited
  • 2020Towards a critical race methodology in algorithmic fairness295 cited
  • 2019Disparate Interactions275 cited
  • 2019Delayed Impact of Fair Machine Learning211 cited
  • 2018Fairness in Decision-Making — The Causal Explanation Formula202 cited
  • 2020An Intersectional Definition of Fairness200 cited
  • 2021Fairness, Equality, and Power in Algorithmic Decision-Making149 cited
  • 2019A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity141 cited
  • 2019Racial categories in machine learning110 cited
  • 2017Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer90 cited
  • 2020What's sex got to do with machine learning?76 cited
  • 2020Fair classification and social welfare75 cited
  • 2019Balanced Ranking with Diversity Constraints

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52 cited

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  • 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation918 cited
  • 2024Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework21 cited
  • 2024Artificial intelligence and algorithmic bias? Field tests on social network with teens19 cited