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Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence
16 references·4 citing·35 second hop
Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence (2014)Better decision support through explorato…Privacy, Data Protection and Law Enforcement. Opacity of the Individual and Transparency of Power (2022)Privacy, Data Protection and …European Court of Justice (2014)European Court of JusticeA multidisciplinary survey on discrimination analysis (2013)A multidisciplinary survey on…The Accountability Principle in Data Protection Regulation: Origin, Development and Future Directions (2012)The Accountability Principle …Quantifying explainable discrimination and removing illegal discrimination in automated decision making (2012)Quantifying explainable discr…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…A Methodology for Direct and Indirect Discrimination Prevention in Data Mining (2012)A Methodology for Direct and …k-NN as an implementation of situation testing for discrimination discovery and prevention (2011)k-NN as an implementation of …Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination Aware Decision Tree Learning (2010)Discrimination Aware Decision…Delusions of Gender (2010)Delusions of GenderData mining for discrimination discovery (2010)Data mining for discriminatio…Measuring Discrimination in Socially-Sensitive Decision Records (2009)Measuring Discrimination in S…Discrimination-aware data mining (2008)Discrimination-aware data min…Cognitive biases and decision support systems development: a design science approach (2005)Cognitive biases and decision…An exploratory cognitive DSS for strategic decision making (2003)An exploratory cognitive DSS …Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective (2022)Integrating Behavioral, Econo…Preventing Algorithmic Bias in the Development of Algorithmic Decision-Making Systems: A Delphi Study (2020)Preventing Algorithmic Bias i…Politik in der digitalen Gesellschaft (2019)Politik in der digitalen Gese…Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass (2017)Toward Accountable Discrimina…Group Rights and Discrimination in International Law (1990)Handling Conditional Discrimination (2011)Ageism in the era of digital platforms (2020)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)The Economics of Discrimination. (1972)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Field Experiments of Discrimination in the Market Place (2002)A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2017)Human Judgment in algorithmic loops: Individual justice and automated decision‐making (2020)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)The Economics of Discrimination (1971)Classification with Fairness Constraints (2019)A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health (2022)A survey on datasets for fairness‐aware machine learning (2022)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Case Study Research: Design and Methods (1991)Strategies for Design Science Research Evaluation (2008)A Framework for Theory Development in Design Science Research: Multiple Perspectives (2012)Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making (2022)Introduction to Data Mining (2007)Decision Theory for Discrimination-Aware Classification (2012)FA*IR (2017)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Classifying without discriminating (2009)The American Psychological Association (1919)Male-Female Wage Differentials in Urban Labor Markets (1973)Stereotype threat and the intellectual test performance of African Americans. (1995)Measuring discrimination in algorithmic decision making (2017)The relationship between trust in AI and trustworthy machine learning technologies (2020)'It's Reducing a Human Being to a Percentage' (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)
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References

  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2008Discrimination-aware data mining676 cited
  • 2005Cognitive biases and decision support systems development: a design science approach354 cited
  • 2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2013A multidisciplinary survey on discrimination analysis288 cited
  • 2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
  • 2009Measuring Discrimination in Socially-Sensitive Decision Records175 cited
  • 2010Data mining for discrimination discovery167 cited
  • 2003An exploratory cognitive DSS for strategic decision making151 cited
  • 2022Privacy, Data Protection and Law Enforcement. Opacity of the Individual and Transparency of Power141 cited
  • 2012The Accountability Principle in Data Protection Regulation: Origin, Development and Future Directions109 cited
  • 2014European Court of Justice108 cited
  • 2012Quantifying explainable discrimination and removing illegal discrimination in automated decision making

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99 cited
  • 2010Delusions of Gender80 cited
  • Cited by

    • 2017Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass32 cited
    • 2019Politik in der digitalen Gesellschaft26 cited
    • 2022Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective26 cited
    • 2020Preventing Algorithmic Bias in the Development of Algorithmic Decision-Making Systems: A Delphi Study21 cited