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UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
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UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models (2021)UDIS: Unsupervised Discovery of Bias in D…Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Towards Fairness in Visual Re…Towards Causal Benchmarking of Bias in Face Analysis Algorithms (2020)Towards Causal Benchmarking o…REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets (2020)REVISE: A Tool for Measuring …Predictive Inequity in Object Detection (2019)Predictive Inequity in Object…Age and gender bias in pedestrian detection algorithms (2019)Age and gender bias in pedest…Women Also Snowboard: Overcoming Bias in Captioning Models (2018)Women Also Snowboard: Overcom…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…On Formalizing Fairness in Prediction with Machine Learning (2017)On Formalizing Fairness in Pr…On Fairness and Calibration (2017)On Fairness and CalibrationNo Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World (2017)No Classification without Rep…Avoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…FairML : ToolBox for diagnosing bias in predictive modeling (2016)FairML : ToolBox for diagnosi…Fairness through awareness (2012)Fairness through awarenessJustice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Big Data's Disparate Impact (2014)The global landscape of AI ethics guidelines (2019)On the Opportunities and Risks of Foundation Models (2021)Equality of Opportunity in Supervised Learning (2016)Counterfactual Fairness (2017)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness definitions explained (2018)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Certifying and Removing Disparate Impact (2015)Aequitas: A Bias and Fairness Audit Toolkit (2018)Artificial Discretion as a Tool of Governance: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration (2019)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)Semantics derived automatically from language corpora contain human-like biases (2017)Investigating Bias and Fairness in Facial Expression Recognition (2020)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Trustworthy AI: A Computational Perspective (2022)Model Cards for Model Reporting (2019)What is AI Literacy? Competencies and Design Considerations (2020)Algorithmic injustice: a relational ethics approach (2021)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2021)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)A Review on Fairness in Machine Learning (2022)
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References

  • 2012Fairness through awareness3,545 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
  • 2017On Fairness and Calibration573 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2017Avoiding Discrimination through Causal Reasoning392 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2019Predictive Inequity in Object Detection194 cited
  • 2017No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World173 cited
  • 2017On Formalizing Fairness in Prediction with Machine Learning152 cited
  • 2020REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets72 cited
  • 2016FairML : ToolBox for diagnosing bias in predictive modeling70 cited
  • 2020Towards Causal Benchmarking of Bias in Face Analysis Algorithms

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45 cited
  • 2019Age and gender bias in pedestrian detection algorithms32 cited
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