SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A review of causality-based fairness machine learning
16 references·0 citing·29 second hop
A review of causality-based fairness machine learning (2022)A review of causality-based fairness mach…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…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…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…To Predict and Serve? (2016)To Predict and Serve?Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessThree naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …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)Equality of Opportunity in Supervised Learning (2016)Fairness and Abstraction in Sociotechnical Systems (2019)Big Data's Disparate Impact (2014)Fairness definitions explained (2018)Machine behaviour (2019)Semantics derived automatically from language corpora contain human-like biases (2017)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)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)Mitigating Unwanted Biases with Adversarial Learning (2018)Bridging the Gap Between Ethics and Practice (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Trustworthy Artificial Intelligence: A Review (2022)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The Ethics of Artificial Intelligence in Education (2022)Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review (2023)8 Decolonizing Methodologies: Research and Indigenous Peoples (2024)The impact of generative artificial intelligence on socioeconomic inequalities and policy making (2024)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)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
  • 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
  • 2021Algorithmic Bias in Education988 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
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2023Fairness in Machine Learning: A Survey645 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2016To Predict and Serve?611 cited
  • 2019

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

A comparative study of fairness-enhancing interventions in machine learning
601 cited

Cited by

No citing works inside the corpus for this window.