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Responsible AI in automated credit scoring systems
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Responsible AI in automated credit scoring systems (2022)Responsible AI in automated credit scorin…Responsible A.I.-based Credit Scoring – A Legal Framework (2020)Responsible A.I.-based Credit…Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness (2020)Do the machine learning model…Fairness Under Unawareness (2019)Fairness Under UnawarenessMitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Decision Theory for Discrimination-Aware Classification (2012)Decision Theory for Discrimin…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Algorithmic trust and regulation: Governance, ethics, legal, and social implications blueprint for Indonesia's central banking (2025)Algorithmic trust and regulat…Measuring adherence to AI ethics: a methodology for assessing adherence to ethical principles in the use case of AI-enabled credit scoring application (2024)Measuring adherence to AI eth…Three naive Bayes approaches for discrimination-free classification (2010)The Filter Bubble: What the Internet Is Hiding from You (2011)Fairness through awareness (2012)Fairness and Abstraction in Sociotechnical Systems (2019)A Survey on Bias and Fairness in Machine Learning (2021)Discrimination-aware data mining (2008)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Fairness in Machine Learning (2020)Fairness in Machine Learning: A Survey (2023)Learning Fair Representations (2013)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Classifying without discriminating (2009)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Equality of Opportunity in Supervised Learning (2016)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)"Ignorance and Prejudice" in Software Fairness (2021)Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods (2021)Age-related bias and artificial intelligence: a scoping review (2023)Big Data's Disparate Impact (2014)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)The analytic hierarchy process—what it is and how it is used (1987)The global landscape of AI ethics guidelines (2019)The Delphi Technique: Making Sense of Consensus (2020)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Responsible Artificial Intelligence (2019)The Ethical Implications of Using Artificial Intelligence in Auditing (2020)Fintechs and Institutions: A Systematic Literature Review and Future Research Agenda (2022)Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency (2022)The Effect of AI-Enabled Credit Scoring on Financial Inclusion: Evidence from an Underserved Population of over One Million (2024)
this work references cited by second hop

References

  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
  • 2011Data preprocessing techniques for classification without discrimination1,344 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2019Fairness Under Unawareness150 cited
  • 2020Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness99 cited
  • 2020Responsible A.I.-based Credit Scoring – A Legal Framework30 cited

Cited by

  • 2025Algorithmic trust and regulation: Governance, ethics, legal, and social implications blueprint for Indonesia's central banking15 cited
  • 2024Measuring adherence to AI ethics: a methodology for assessing adherence to ethical principles in the use case of AI-enabled credit scoring application11 cited

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