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Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
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Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) (2020)Algorithmic Bias in Recidivism Prediction…Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019)Fairness in Algorithmic Decis…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Algorithmic fairness in predictive policing (2024)Algorithmic fairness in predi…Causal Feature Selection for Algorithmic Fairness (2022)Causal Feature Selection for …AI and housing discrimination: the case of mortgage applications (2022)AI and housing discrimination…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Data preprocessing techniques for classification without discrimination (2011)Certifying and Removing Disparate Impact (2015)Improving Fairness in Machine Learning Systems (2019)Fair Feature Selection: A Causal Perspective (2024)NeuFair: Neural Network Fairness Repair with Dropout (2024)On the relation of causality- versus correlation-based feature selection on model fairness (2024)Closed Doors, Opportunities Lost: The Continuing Costs of Housing Discrimination. (1997)Exponentiated Gradient versus Gradient Descent for Linear Predictors (1997)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Navigating fairness measures and trade-offs (2023)Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic (2023)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2019)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Machine learning fairness notions: Bridging the gap with real-world applications (2021)On the Applicability of Machine Learning Fairness Notions (2021)A brief review on algorithmic fairness (2022)
this work references cited by second hop

References

  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2019Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality87 cited

Cited by

  • 2022Causal Feature Selection for Algorithmic Fairness31 cited
  • 2024Algorithmic fairness in predictive policing29 cited
  • 2022AI and housing discrimination: the case of mortgage applications27 cited

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