SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
16 references·0 citing·30 second hop
Justicia: A Stochastic SAT Approach to Formally Verify Fairness (2021)Justicia: A Stochastic SAT Approach to Fo…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…FAHT: An Adaptive Fairness-aware Decision Tree Classifier (2019)FAHT: An Adaptive Fairness-aw…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…The Measure and Mismeasure of Fairness (2018)The Measure and Mismeasure of…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Fair Forests (2018)Fair ForestsAI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Counterfactual Fairness (2017)Counterfactual FairnessEquality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessDecision Theory for Discrimination-Aware Classification (2012)Decision Theory for Discrimin…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…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)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Reductions Approach to Fair Classification (2018)Learning Adversarially Fair and Transferable Representations (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)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)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)Algorithmic Decision Making and the Cost of Fairness (2017)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Review on Fairness in Machine Learning (2022)Trustworthy AI: From Principles to Practices (2022)
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
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2018The Measure and Mismeasure of Fairness445 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2020A snapshot of the frontiers of fairness in machine learning355 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2019FAHT: An Adaptive Fairness-aware Decision Tree Classifier85 cited
  • 2018Fair Forests

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

55 cited

Cited by

No citing works inside the corpus for this window.