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A fair price to pay: Exploiting causal graphs for fairness in insurance
16 references·0 citing·41 second hopsampled
A fair price to pay: Exploiting causal graphs for fairness in insurance (2025)A fair price to pay: Exploiting causal gr…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…A clarification of the nuances in the fairness metrics landscape (2022)A clarification of the nuance…DISCRIMINATION-FREE INSURANCE PRICING (2021)DISCRIMINATION-FREE INSURANCE…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Proxy Discrimination in the Age of Artificial Intelligence and Big Data (2020)Proxy Discrimination in the A…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Protecting against disaster risks: Why insurance and prevention may be complements (2019)Protecting against disaster r…The Measure and Mismeasure of Fairness (2018)The Measure and Mismeasure of…Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment (2018)Layers of Bias: A Unified App…The Routledge Handbook of the Ethics of Discrimination (2017)The Routledge Handbook of the…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2017)A Causal Framework for Discov…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessImplementing Anti-Discrimination Policies in Statistical Profiling Models (2011)Implementing Anti-Discriminat…The shackled runner: time to rethink positive discrimination? (2010)The shackled runner: time to …Three naive Bayes approaches for discrimination-free classification (2010)The Filter Bubble: What the Internet Is Hiding from You (2011)Fairness and Abstraction in Sociotechnical Systems (2019)Justice 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)Equality of Opportunity in Supervised Learning (2016)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Model Cards for Model Reporting (2019)Discrimination-aware data mining (2008)Fairness-aware Learning through Regularization Approach (2011)Certifying and Removing Disparate Impact (2015)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Policy advice and best practices on bias and fairness in AI (2024)The Economics of Discrimination. (1972)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)On the Opportunities and Risks of Foundation Models (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The Statistical Theory of Racism and Sexism. (1972)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)Stereotypes and prejudice: Their automatic and controlled components. (1989)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Epistemic Injustice: Power and the Ethics of Knowing (2007)Electoral Discrimination Against Immigrant-Origin Candidates (2018)Equality in the Informed Consent Process: Competence to Consent, Substitute Decision-Making, and Discrimination of Persons with Mental Disorders (2020)The Discriminating (Pricing) Actuary (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Algorithmic bias in data-driven innovation in the age of AI (2021)Ethical Machine Learning in Healthcare (2021)Big Data's Disparate Impact (2014)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Fairness in recommender systems: research landscape and future directions (2023)Mental-LLM (2024)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)The global landscape of AI ethics guidelines (2019)Operational Research: methods and applications (2023)Fairness, AI & recruitment (2024)Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models (2024)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 2012Fairness through awareness3,545 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2018The Measure and Mismeasure of Fairness778 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2022A Review on Fairness in Machine Learning620 cited
  • 2020A snapshot of the frontiers of fairness in machine learning362 cited
  • 2022A clarification of the nuances in the fairness metrics landscape221 cited
  • 2017The Routledge Handbook of the Ethics of Discrimination170 cited
  • 2017A Causal Framework for Discovering and Removing Direct and Indirect Discrimination158 cited
  • 2018Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment155 cited
  • 2020Proxy Discrimination in the Age of Artificial Intelligence and Big Data151 cited
  • 2010The shackled runner: time to rethink positive discrimination?133 cited
  • 2011Implementing Anti-Discrimination Policies in Statistical Profiling Models87 cited
  • 2019Protecting against disaster risks: Why insurance and prevention may be complements

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74 cited
  • 2021DISCRIMINATION-FREE INSURANCE PRICING60 cited
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