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Fairness in Deep Learning: A Computational Perspective
14 references·16 citing·29 second hop
Fairness in Deep Learning: A Computational Perspective (2020)Fairness in Deep Learning: A Computationa…Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Examining Gender and Race Bia…AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…Adversarial Removal of Demographic Attributes from Text Data (2018)Adversarial Removal of Demogr…A Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Implementing equitable and intersectionality‐aware ML in education: A practical guide (2024)Implementing equitable and in…FairSNA: Algorithmic Fairness in Social Network Analysis (2024)FairSNA: Algorithmic Fairness…Fairness for machine learning software in education: A systematic mapping study (2024)Fairness for machine learning…Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling (2023)Multi-task learning with dyna…Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects (2023)Implementing Responsible AI: …Fairness in Graph Mining: A Survey (2023)Fairness in Graph Mining: A S…Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Fairness in Deep Learning: A …AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)AI Fairness in Data Managemen…The rise of people analytics and the future of organizational research (2022)The rise of people analytics …Propagation of societal gender inequality by internet search algorithms (2022)Propagation of societal gende…In-Processing Modeling Techniques for Machine Learning Fairness: A Survey (2022)In-Processing Modeling Techni…Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage (2022)Improving Fairness in Graph N…FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis (2022)FairPrune: Achieving Fairness…EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks (2022)EDITS: Modeling and Mitigatin…Artificial Intelligence Governance For Businesses (2022)Artificial Intelligence Gover…Constructing a Fair Classifier with Generated Fair Data (2021)Constructing a Fair Classifie…Discrimination-aware data mining (2008)Three naive Bayes approaches for discrimination-free classification (2010)Fairness through awareness (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)A snapshot of the frontiers of fairness in machine learning (2020)Mitigating Unwanted Biases with Adversarial Learning (2018)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)A High-Level Overview of AI Ethics (2020)Algorithmic fairness in education (2022)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)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Bridging the Gap Between Ethics and Practice (2020)Addressing bias in big data and AI for health care: A call for open science (2021)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 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
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2018A Reductions Approach to Fair Classification364 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2018Adversarial Removal of Demographic Attributes from Text Data242 cited

Cited by

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  • 2022Artificial Intelligence Governance For Businesses168 cited
  • 2023AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications155 cited
  • 2023Fairness in Graph Mining: A Survey138 cited
  • 2022EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks125 cited
  • 2022Propagation of societal gender inequality by internet search algorithms109 cited
  • 2022In-Processing Modeling Techniques for Machine Learning Fairness: A Survey99 cited
  • 2022Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage95 cited
  • 2023Fairness in Deep Learning: A Survey on Vision and Language Research57 cited
  • 2022FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis50 cited
  • 2024Implementing equitable and intersectionality‐aware ML in education: A practical guide40 cited
  • 2022The rise of people analytics and the future of organizational research34 cited
  • 2024FairSNA: Algorithmic Fairness in Social Network Analysis33 cited
  • 2021Constructing a Fair Classifier with Generated Fair Data31 cited
  • 2024Fairness for machine learning software in education: A systematic mapping study30 cited
  • 2023Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling29 cited
  • 2023Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects27 cited